Overview

Dataset statistics

Number of variables174
Number of observations6031
Missing cells2796
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 MiB
Average record size in memory1.4 KiB

Variable types

Categorical170
Numeric4

Alerts

Flag_MCAS is highly overall correlated with Symptom_New_anaphylaxis and 4 other fieldsHigh correlation
FAS is highly overall correlated with FAS_catHigh correlation
Physical_PEM_Severity is highly overall correlated with Symptom_PEMHigh correlation
Cognitive_PEM_Severity is highly overall correlated with Symptom_PEMHigh correlation
Symptom_Cognitive_Functioning_thinking is highly overall correlated with Symptom_Cognitive_Functioning_problemsolving and 1 other fieldsHigh correlation
Symptom_Cognitive_Functioning_executive is highly overall correlated with Symptom_Cognitive_Functioning_problemsolvingHigh correlation
Symptom_Cognitive_Functioning_problemsolving is highly overall correlated with Symptom_Cognitive_Functioning_thinking and 1 other fieldsHigh correlation
Symptom_Cognitive_Functioning_attentionconcentration is highly overall correlated with Symptom_Cognitive_Functioning_thinkingHigh correlation
Symptom_Speech_difficulty_finding_words is highly overall correlated with Symptom_Speech_difficulty_communicating_verbally and 3 other fieldsHigh correlation
Symptom_Speech_difficulty_communicating_verbally is highly overall correlated with Symptom_Speech_difficulty_finding_words and 3 other fieldsHigh correlation
Symptom_Speech_difficulty_reading_processing_text is highly overall correlated with Symptom_Speech_difficulty_finding_words and 3 other fieldsHigh correlation
Symptom_Speech_difficulty_understanding_others_speech is highly overall correlated with Symptom_Speech_difficulty_finding_words and 2 other fieldsHigh correlation
Symptom_Speech_difficulty_speaking_complete_sentences is highly overall correlated with Symptom_Speech_difficulty_finding_words and 1 other fieldsHigh correlation
Symptom_Speech_difficulty_communicating_writing is highly overall correlated with Symptom_Speech_difficulty_reading_processing_textHigh correlation
Symptom_Loss_of_smell is highly overall correlated with Symptom_Loss_of_tasteHigh correlation
Symptom_Loss_of_taste is highly overall correlated with Symptom_Loss_of_smellHigh correlation
Symptom_Altered_taste is highly overall correlated with Symptom_Altered_smellHigh correlation
Symptom_Altered_smell is highly overall correlated with Symptom_Altered_tasteHigh correlation
Symptom_Insomnia is highly overall correlated with Symptom_Difficulty_falling_asleep and 1 other fieldsHigh correlation
Symptom_Difficulty_falling_asleep is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Waking_up_in_night is highly overall correlated with Symptom_InsomniaHigh correlation
Symptom_Temp_lability is highly overall correlated with Symptom_Elevated_tempHigh correlation
Symptom_Elevated_temp is highly overall correlated with Symptom_Temp_labilityHigh correlation
Symptom_Tachycardia is highly overall correlated with Flag_POTSHigh correlation
Symptom_New_anaphylaxis is highly overall correlated with Flag_MCASHigh correlation
Symptom_Eye_vision_symptoms is highly overall correlated with Symptom_Eye_Vision_blurred_visionHigh correlation
Symptom_Reproductive_all_menstrual_issues is highly overall correlated with Symptom_Reproductive_abnormally_irregular_periodsHigh correlation
Symptom_Skin_rashes is highly overall correlated with Flag_MCASHigh correlation
Symptom_Eye_Vision_blurred_vision is highly overall correlated with Symptom_Eye_vision_symptomsHigh correlation
Symptom_Reproductive_abnormally_irregular_periods is highly overall correlated with Symptom_Reproductive_all_menstrual_issuesHigh correlation
Symptom_SkinAllergy_heighted_reaction_allergies is highly overall correlated with Flag_MCASHigh correlation
Symptom_PEM is highly overall correlated with Physical_PEM_Severity and 1 other fieldsHigh correlation
Symptom_Change_sensitivity_to_meds is highly overall correlated with Flag_MCASHigh correlation
Symptom_New_allergies is highly overall correlated with Flag_MCASHigh correlation
Demographics_Gender_Cleaned is highly overall correlated with Demographics_Trans_CleanedHigh correlation
Demographics_Trans_Cleaned is highly overall correlated with Demographics_Gender_CleanedHigh correlation
Demographics_Age_Cleaned is highly overall correlated with HasPeriodsHigh correlation
Flag_POTS is highly overall correlated with Symptom_TachycardiaHigh correlation
FAS_cat is highly overall correlated with FASHigh correlation
HasPeriods is highly overall correlated with Demographics_Age_CleanedHigh correlation
Symptom_Memory_short is highly imbalanced (61.3%)Imbalance
Symptom_Memory_no_new_memories is highly imbalanced (57.2%)Imbalance
Symptom_Cognitive_Functioning_agnosia is highly imbalanced (50.5%)Imbalance
Symptom_Cognitive_Functioning_other is highly imbalanced (57.3%)Imbalance
Symptom_Speech_speaking_unrecognizable_words is highly imbalanced (54.8%)Imbalance
Symptom_Speech_changes_to_secondary_languages is highly imbalanced (69.0%)Imbalance
Symptom_Speech_other is highly imbalanced (74.4%)Imbalance
Symptom_Phantom_taste is highly imbalanced (53.4%)Imbalance
Symptom_Heightened_smell is highly imbalanced (59.0%)Imbalance
Symptom_Heightened_taste is highly imbalanced (80.1%)Imbalance
Symptom_Hallucinations_visual is highly imbalanced (52.1%)Imbalance
Symptom_Hallucinations_auditory is highly imbalanced (63.0%)Imbalance
Symptom_Hallucinations_tactile is highly imbalanced (78.8%)Imbalance
Symptom_Hallucinations_other is highly imbalanced (84.0%)Imbalance
Symptom_Sensations_facial_pressure_left is highly imbalanced (60.0%)Imbalance
Symptom_Sensations_facial_pressure_right is highly imbalanced (64.2%)Imbalance
Symptom_Sensations_facial_pressure_other is highly imbalanced (67.2%)Imbalance
Symptom_Sensations_facial_paralysis is highly imbalanced (79.6%)Imbalance
Symptom_New_anaphylaxis is highly imbalanced (74.4%)Imbalance
Symptom_Coughing_up_blood is highly imbalanced (72.3%)Imbalance
Symptom_Respiratory_other is highly imbalanced (57.7%)Imbalance
Symptom_Hearing_loss is highly imbalanced (54.1%)Imbalance
Symptom_Dermatographia is highly imbalanced (59.6%)Imbalance
Symptom_Skin_Allergy_other is highly imbalanced (54.8%)Imbalance
Symptom_Inability_to_yawn is highly imbalanced (69.7%)Imbalance
Symptom_Ear_numbness is highly imbalanced (71.6%)Imbalance
Symptom_Eye_Vision_double_vision is highly imbalanced (59.9%)Imbalance
Symptom_Eye_Vision_tunnel_vision is highly imbalanced (76.6%)Imbalance
Symptom_Eye_Vision_loss_of_vision is highly imbalanced (91.2%)Imbalance
Symptom_Eye_Vision_redness_outside_eye is highly imbalanced (58.7%)Imbalance
Symptom_Reproductive_early_menopause is highly imbalanced (89.4%)Imbalance
Symptom_Reproductive_abnormally_heavy_periods_clotting is highly imbalanced (54.6%)Imbalance
Symptom_Reproductive_testicle_penis_pain_changes is highly imbalanced (77.4%)Imbalance
Symptom_Reproductive_postmenopausal_bleeding is highly imbalanced (88.1%)Imbalance
Symptom_Reproductive_other_menstrual_issues is highly imbalanced (56.3%)Imbalance
Symptom_SkinAllergy_brittle_nail is highly imbalanced (50.2%)Imbalance
Symptom_SkinAllergy_other_itchy is highly imbalanced (68.3%)Imbalance
Symptom_SkinAllergy_shingles is highly imbalanced (82.8%)Imbalance
Symptom_Fatigue is highly imbalanced (85.5%)Imbalance
Demographics_Ancestry_Cleaned is highly imbalanced (63.5%)Imbalance
Demographics_Trans_Cleaned is highly imbalanced (88.0%)Imbalance
Physical_PEM_Severity has 702 (11.6%) missing valuesMissing
Cognitive_PEM_Severity has 702 (11.6%) missing valuesMissing
HasPeriods has 1344 (22.3%) missing valuesMissing
Flag_MCAS has 3138 (52.0%) zerosZeros
Cognitive_PEM_Severity has 610 (10.1%) zerosZeros

Reproduction

Analysis started2023-09-16 12:27:08.873143
Analysis finished2023-09-16 12:27:40.104434
Duration31.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Symptom_Memory_short
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
5574 
0.0
 
457

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5574
92.4%
0.0 457
 
7.6%

Length

2023-09-16T13:27:40.140134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.186866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5574
92.4%
0.0 457
 
7.6%

Most occurring characters

ValueCountFrequency (%)
0 6488
35.9%
. 6031
33.3%
1 5574
30.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6488
53.8%
1 5574
46.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6488
35.9%
. 6031
33.3%
1 5574
30.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6488
35.9%
. 6031
33.3%
1 5574
30.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3527 
1.0
2504 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3527
58.5%
1.0 2504
41.5%

Length

2023-09-16T13:27:40.230487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.272022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3527
58.5%
1.0 2504
41.5%

Most occurring characters

ValueCountFrequency (%)
0 9558
52.8%
. 6031
33.3%
1 2504
 
13.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9558
79.2%
1 2504
 
20.8%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9558
52.8%
. 6031
33.3%
1 2504
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9558
52.8%
. 6031
33.3%
1 2504
 
13.8%

Symptom_Memory_no_new_memories
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5503 
1.0
 
528

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5503
91.2%
1.0 528
 
8.8%

Length

2023-09-16T13:27:40.317892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.360220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5503
91.2%
1.0 528
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0 11534
63.7%
. 6031
33.3%
1 528
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11534
95.6%
1 528
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11534
63.7%
. 6031
33.3%
1 528
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11534
63.7%
. 6031
33.3%
1 528
 
2.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5199 
1.0
832 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5199
86.2%
1.0 832
 
13.8%

Length

2023-09-16T13:27:40.404367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.443930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5199
86.2%
1.0 832
 
13.8%

Most occurring characters

ValueCountFrequency (%)
0 11230
62.1%
. 6031
33.3%
1 832
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11230
93.1%
1 832
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11230
62.1%
. 6031
33.3%
1 832
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11230
62.1%
. 6031
33.3%
1 832
 
4.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5307 
1.0
724 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5307
88.0%
1.0 724
 
12.0%

Length

2023-09-16T13:27:40.488537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.528582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5307
88.0%
1.0 724
 
12.0%

Most occurring characters

ValueCountFrequency (%)
0 11338
62.7%
. 6031
33.3%
1 724
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11338
94.0%
1 724
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11338
62.7%
. 6031
33.3%
1 724
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11338
62.7%
. 6031
33.3%
1 724
 
4.0%

Symptom_Cognitive_Functioning_thinking
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
4018 
0.0
2013 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 4018
66.6%
0.0 2013
33.4%

Length

2023-09-16T13:27:40.572110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.612032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4018
66.6%
0.0 2013
33.4%

Most occurring characters

ValueCountFrequency (%)
0 8044
44.5%
. 6031
33.3%
1 4018
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8044
66.7%
1 4018
33.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8044
44.5%
. 6031
33.3%
1 4018
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8044
44.5%
. 6031
33.3%
1 4018
22.2%

Symptom_Cognitive_Functioning_executive
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
3550 
0.0
2481 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 3550
58.9%
0.0 2481
41.1%

Length

2023-09-16T13:27:40.655878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.697793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3550
58.9%
0.0 2481
41.1%

Most occurring characters

ValueCountFrequency (%)
0 8512
47.0%
. 6031
33.3%
1 3550
19.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8512
70.6%
1 3550
29.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8512
47.0%
. 6031
33.3%
1 3550
19.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8512
47.0%
. 6031
33.3%
1 3550
19.6%

Symptom_Cognitive_Functioning_problemsolving
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
3359 
0.0
2672 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.0 3359
55.7%
0.0 2672
44.3%

Length

2023-09-16T13:27:40.742077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.781120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3359
55.7%
0.0 2672
44.3%

Most occurring characters

ValueCountFrequency (%)
0 8703
48.1%
. 6031
33.3%
1 3359
 
18.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8703
72.2%
1 3359
 
27.8%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8703
48.1%
. 6031
33.3%
1 3359
 
18.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8703
48.1%
. 6031
33.3%
1 3359
 
18.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3436 
1.0
2595 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3436
57.0%
1.0 2595
43.0%

Length

2023-09-16T13:27:40.823453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.862322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3436
57.0%
1.0 2595
43.0%

Most occurring characters

ValueCountFrequency (%)
0 9467
52.3%
. 6031
33.3%
1 2595
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9467
78.5%
1 2595
 
21.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9467
52.3%
. 6031
33.3%
1 2595
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9467
52.3%
. 6031
33.3%
1 2595
 
14.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4986 
1.0
1045 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4986
82.7%
1.0 1045
 
17.3%

Length

2023-09-16T13:27:40.904143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:40.945066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4986
82.7%
1.0 1045
 
17.3%

Most occurring characters

ValueCountFrequency (%)
0 11017
60.9%
. 6031
33.3%
1 1045
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11017
91.3%
1 1045
 
8.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11017
60.9%
. 6031
33.3%
1 1045
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11017
60.9%
. 6031
33.3%
1 1045
 
5.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5378 
1.0
653 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5378
89.2%
1.0 653
 
10.8%

Length

2023-09-16T13:27:40.987921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.028008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5378
89.2%
1.0 653
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0 11409
63.1%
. 6031
33.3%
1 653
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11409
94.6%
1 653
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11409
63.1%
. 6031
33.3%
1 653
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11409
63.1%
. 6031
33.3%
1 653
 
3.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
4541 
0.0
1490 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4541
75.3%
0.0 1490
 
24.7%

Length

2023-09-16T13:27:41.071136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.111809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4541
75.3%
0.0 1490
 
24.7%

Most occurring characters

ValueCountFrequency (%)
0 7521
41.6%
. 6031
33.3%
1 4541
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7521
62.4%
1 4541
37.6%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7521
41.6%
. 6031
33.3%
1 4541
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7521
41.6%
. 6031
33.3%
1 4541
25.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5506 
1.0
 
525

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 5506
91.3%
1.0 525
 
8.7%

Length

2023-09-16T13:27:41.155312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.205296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5506
91.3%
1.0 525
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0 11537
63.8%
. 6031
33.3%
1 525
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11537
95.6%
1 525
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11537
63.8%
. 6031
33.3%
1 525
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11537
63.8%
. 6031
33.3%
1 525
 
2.9%

Symptom_Speech_difficulty_finding_words
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3106 
1.0
2925 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3106
51.5%
1.0 2925
48.5%

Length

2023-09-16T13:27:41.250270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.293311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3106
51.5%
1.0 2925
48.5%

Most occurring characters

ValueCountFrequency (%)
0 9137
50.5%
. 6031
33.3%
1 2925
 
16.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9137
75.8%
1 2925
 
24.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9137
50.5%
. 6031
33.3%
1 2925
 
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9137
50.5%
. 6031
33.3%
1 2925
 
16.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4184 
1.0
1847 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4184
69.4%
1.0 1847
30.6%

Length

2023-09-16T13:27:41.336113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.374247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4184
69.4%
1.0 1847
30.6%

Most occurring characters

ValueCountFrequency (%)
0 10215
56.5%
. 6031
33.3%
1 1847
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10215
84.7%
1 1847
 
15.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10215
56.5%
. 6031
33.3%
1 1847
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10215
56.5%
. 6031
33.3%
1 1847
 
10.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4466 
1.0
1565 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4466
74.1%
1.0 1565
 
25.9%

Length

2023-09-16T13:27:41.416095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.454086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4466
74.1%
1.0 1565
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 10497
58.0%
. 6031
33.3%
1 1565
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10497
87.0%
1 1565
 
13.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10497
58.0%
. 6031
33.3%
1 1565
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10497
58.0%
. 6031
33.3%
1 1565
 
8.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4465 
1.0
1566 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4465
74.0%
1.0 1566
 
26.0%

Length

2023-09-16T13:27:41.497354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.536992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4465
74.0%
1.0 1566
 
26.0%

Most occurring characters

ValueCountFrequency (%)
0 10496
58.0%
. 6031
33.3%
1 1566
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10496
87.0%
1 1566
 
13.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10496
58.0%
. 6031
33.3%
1 1566
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10496
58.0%
. 6031
33.3%
1 1566
 
8.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4619 
1.0
1412 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4619
76.6%
1.0 1412
 
23.4%

Length

2023-09-16T13:27:41.578472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.616849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4619
76.6%
1.0 1412
 
23.4%

Most occurring characters

ValueCountFrequency (%)
0 10650
58.9%
. 6031
33.3%
1 1412
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10650
88.3%
1 1412
 
11.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10650
58.9%
. 6031
33.3%
1 1412
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10650
58.9%
. 6031
33.3%
1 1412
 
7.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5460 
1.0
571 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5460
90.5%
1.0 571
 
9.5%

Length

2023-09-16T13:27:41.660895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.702269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5460
90.5%
1.0 571
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 11491
63.5%
. 6031
33.3%
1 571
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11491
95.3%
1 571
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11491
63.5%
. 6031
33.3%
1 571
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11491
63.5%
. 6031
33.3%
1 571
 
3.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5022 
1.0
1009 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5022
83.3%
1.0 1009
 
16.7%

Length

2023-09-16T13:27:41.746071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.787471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5022
83.3%
1.0 1009
 
16.7%

Most occurring characters

ValueCountFrequency (%)
0 11053
61.1%
. 6031
33.3%
1 1009
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11053
91.6%
1 1009
 
8.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11053
61.1%
. 6031
33.3%
1 1009
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11053
61.1%
. 6031
33.3%
1 1009
 
5.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5695 
1.0
 
336

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5695
94.4%
1.0 336
 
5.6%

Length

2023-09-16T13:27:41.830748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.870848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5695
94.4%
1.0 336
 
5.6%

Most occurring characters

ValueCountFrequency (%)
0 11726
64.8%
. 6031
33.3%
1 336
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11726
97.2%
1 336
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11726
64.8%
. 6031
33.3%
1 336
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11726
64.8%
. 6031
33.3%
1 336
 
1.9%

Symptom_Speech_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5771 
1.0
 
260

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5771
95.7%
1.0 260
 
4.3%

Length

2023-09-16T13:27:41.913170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:41.953168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5771
95.7%
1.0 260
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 11802
65.2%
. 6031
33.3%
1 260
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11802
97.8%
1 260
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11802
65.2%
. 6031
33.3%
1 260
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11802
65.2%
. 6031
33.3%
1 260
 
1.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3608 
1.0
2423 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3608
59.8%
1.0 2423
40.2%

Length

2023-09-16T13:27:41.995595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.037185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3608
59.8%
1.0 2423
40.2%

Most occurring characters

ValueCountFrequency (%)
0 9639
53.3%
. 6031
33.3%
1 2423
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9639
79.9%
1 2423
 
20.1%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9639
53.3%
. 6031
33.3%
1 2423
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9639
53.3%
. 6031
33.3%
1 2423
 
13.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3619 
1.0
2412 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3619
60.0%
1.0 2412
40.0%

Length

2023-09-16T13:27:42.081436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.121535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3619
60.0%
1.0 2412
40.0%

Most occurring characters

ValueCountFrequency (%)
0 9650
53.3%
. 6031
33.3%
1 2412
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9650
80.0%
1 2412
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9650
53.3%
. 6031
33.3%
1 2412
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9650
53.3%
. 6031
33.3%
1 2412
 
13.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4004 
1.0
2027 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4004
66.4%
1.0 2027
33.6%

Length

2023-09-16T13:27:42.165299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.207244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4004
66.4%
1.0 2027
33.6%

Most occurring characters

ValueCountFrequency (%)
0 10035
55.5%
. 6031
33.3%
1 2027
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10035
83.2%
1 2027
 
16.8%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10035
55.5%
. 6031
33.3%
1 2027
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10035
55.5%
. 6031
33.3%
1 2027
 
11.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3959 
1.0
2072 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3959
65.6%
1.0 2072
34.4%

Length

2023-09-16T13:27:42.251871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.292314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3959
65.6%
1.0 2072
34.4%

Most occurring characters

ValueCountFrequency (%)
0 9990
55.2%
. 6031
33.3%
1 2072
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9990
82.8%
1 2072
 
17.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9990
55.2%
. 6031
33.3%
1 2072
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9990
55.2%
. 6031
33.3%
1 2072
 
11.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3930 
1.0
2101 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3930
65.2%
1.0 2101
34.8%

Length

2023-09-16T13:27:42.336980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.499417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3930
65.2%
1.0 2101
34.8%

Most occurring characters

ValueCountFrequency (%)
0 9961
55.1%
. 6031
33.3%
1 2101
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9961
82.6%
1 2101
 
17.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9961
55.1%
. 6031
33.3%
1 2101
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9961
55.1%
. 6031
33.3%
1 2101
 
11.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4332 
1.0
1699 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4332
71.8%
1.0 1699
 
28.2%

Length

2023-09-16T13:27:42.540329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.578559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4332
71.8%
1.0 1699
 
28.2%

Most occurring characters

ValueCountFrequency (%)
0 10363
57.3%
. 6031
33.3%
1 1699
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10363
85.9%
1 1699
 
14.1%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10363
57.3%
. 6031
33.3%
1 1699
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10363
57.3%
. 6031
33.3%
1 1699
 
9.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4414 
1.0
1617 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4414
73.2%
1.0 1617
 
26.8%

Length

2023-09-16T13:27:42.618963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.656836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4414
73.2%
1.0 1617
 
26.8%

Most occurring characters

ValueCountFrequency (%)
0 10445
57.7%
. 6031
33.3%
1 1617
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10445
86.6%
1 1617
 
13.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10445
57.7%
. 6031
33.3%
1 1617
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10445
57.7%
. 6031
33.3%
1 1617
 
8.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4575 
1.0
1456 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4575
75.9%
1.0 1456
 
24.1%

Length

2023-09-16T13:27:42.700635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.741942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4575
75.9%
1.0 1456
 
24.1%

Most occurring characters

ValueCountFrequency (%)
0 10606
58.6%
. 6031
33.3%
1 1456
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10606
87.9%
1 1456
 
12.1%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10606
58.6%
. 6031
33.3%
1 1456
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10606
58.6%
. 6031
33.3%
1 1456
 
8.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5227 
1.0
804 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5227
86.7%
1.0 804
 
13.3%

Length

2023-09-16T13:27:42.785230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.825776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5227
86.7%
1.0 804
 
13.3%

Most occurring characters

ValueCountFrequency (%)
0 11258
62.2%
. 6031
33.3%
1 804
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11258
93.3%
1 804
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11258
62.2%
. 6031
33.3%
1 804
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11258
62.2%
. 6031
33.3%
1 804
 
4.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5304 
1.0
727 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5304
87.9%
1.0 727
 
12.1%

Length

2023-09-16T13:27:42.869717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.911675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5304
87.9%
1.0 727
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0 11335
62.6%
. 6031
33.3%
1 727
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11335
94.0%
1 727
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11335
62.6%
. 6031
33.3%
1 727
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11335
62.6%
. 6031
33.3%
1 727
 
4.0%

Symptom_Loss_of_smell
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3666 
1.0
2365 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3666
60.8%
1.0 2365
39.2%

Length

2023-09-16T13:27:42.955179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:42.995711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3666
60.8%
1.0 2365
39.2%

Most occurring characters

ValueCountFrequency (%)
0 9697
53.6%
. 6031
33.3%
1 2365
 
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9697
80.4%
1 2365
 
19.6%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9697
53.6%
. 6031
33.3%
1 2365
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9697
53.6%
. 6031
33.3%
1 2365
 
13.1%

Symptom_Loss_of_taste
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3871 
1.0
2160 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3871
64.2%
1.0 2160
35.8%

Length

2023-09-16T13:27:43.039689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.080109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3871
64.2%
1.0 2160
35.8%

Most occurring characters

ValueCountFrequency (%)
0 9902
54.7%
. 6031
33.3%
1 2160
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9902
82.1%
1 2160
 
17.9%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9902
54.7%
. 6031
33.3%
1 2160
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9902
54.7%
. 6031
33.3%
1 2160
 
11.9%

Symptom_Altered_taste
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4348 
1.0
1683 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4348
72.1%
1.0 1683
 
27.9%

Length

2023-09-16T13:27:43.124436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.162980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4348
72.1%
1.0 1683
 
27.9%

Most occurring characters

ValueCountFrequency (%)
0 10379
57.4%
. 6031
33.3%
1 1683
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10379
86.0%
1 1683
 
14.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10379
57.4%
. 6031
33.3%
1 1683
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10379
57.4%
. 6031
33.3%
1 1683
 
9.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4530 
1.0
1501 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4530
75.1%
1.0 1501
 
24.9%

Length

2023-09-16T13:27:43.204340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.246131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4530
75.1%
1.0 1501
 
24.9%

Most occurring characters

ValueCountFrequency (%)
0 10561
58.4%
. 6031
33.3%
1 1501
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10561
87.6%
1 1501
 
12.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10561
58.4%
. 6031
33.3%
1 1501
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10561
58.4%
. 6031
33.3%
1 1501
 
8.3%

Symptom_Altered_smell
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4663 
1.0
1368 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4663
77.3%
1.0 1368
 
22.7%

Length

2023-09-16T13:27:43.290275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.331686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4663
77.3%
1.0 1368
 
22.7%

Most occurring characters

ValueCountFrequency (%)
0 10694
59.1%
. 6031
33.3%
1 1368
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10694
88.7%
1 1368
 
11.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10694
59.1%
. 6031
33.3%
1 1368
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10694
59.1%
. 6031
33.3%
1 1368
 
7.6%

Symptom_Phantom_taste
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5434 
1.0
597 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5434
90.1%
1.0 597
 
9.9%

Length

2023-09-16T13:27:43.374850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.415399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5434
90.1%
1.0 597
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0 11465
63.4%
. 6031
33.3%
1 597
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11465
95.1%
1 597
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11465
63.4%
. 6031
33.3%
1 597
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11465
63.4%
. 6031
33.3%
1 597
 
3.3%

Symptom_Heightened_smell
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5535 
1.0
 
496

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5535
91.8%
1.0 496
 
8.2%

Length

2023-09-16T13:27:43.458631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.499304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5535
91.8%
1.0 496
 
8.2%

Most occurring characters

ValueCountFrequency (%)
0 11566
63.9%
. 6031
33.3%
1 496
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11566
95.9%
1 496
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11566
63.9%
. 6031
33.3%
1 496
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11566
63.9%
. 6031
33.3%
1 496
 
2.7%

Symptom_Heightened_taste
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5845 
1.0
 
186

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5845
96.9%
1.0 186
 
3.1%

Length

2023-09-16T13:27:43.541916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.582820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5845
96.9%
1.0 186
 
3.1%

Most occurring characters

ValueCountFrequency (%)
0 11876
65.6%
. 6031
33.3%
1 186
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11876
98.5%
1 186
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11876
65.6%
. 6031
33.3%
1 186
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11876
65.6%
. 6031
33.3%
1 186
 
1.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3559 
1.0
2472 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3559
59.0%
1.0 2472
41.0%

Length

2023-09-16T13:27:43.625755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.663956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3559
59.0%
1.0 2472
41.0%

Most occurring characters

ValueCountFrequency (%)
0 9590
53.0%
. 6031
33.3%
1 2472
 
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9590
79.5%
1 2472
 
20.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9590
53.0%
. 6031
33.3%
1 2472
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9590
53.0%
. 6031
33.3%
1 2472
 
13.7%

Symptom_Tremors
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3598 
1.0
2433 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3598
59.7%
1.0 2433
40.3%

Length

2023-09-16T13:27:43.707867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.747616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3598
59.7%
1.0 2433
40.3%

Most occurring characters

ValueCountFrequency (%)
0 9629
53.2%
. 6031
33.3%
1 2433
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9629
79.8%
1 2433
 
20.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9629
53.2%
. 6031
33.3%
1 2433
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9629
53.2%
. 6031
33.3%
1 2433
 
13.4%

Symptom_Insomnia
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
4181 
0.0
1850 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4181
69.3%
0.0 1850
30.7%

Length

2023-09-16T13:27:43.793479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.833946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4181
69.3%
0.0 1850
30.7%

Most occurring characters

ValueCountFrequency (%)
0 7881
43.6%
. 6031
33.3%
1 4181
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7881
65.3%
1 4181
34.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7881
43.6%
. 6031
33.3%
1 4181
23.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7881
43.6%
. 6031
33.3%
1 4181
23.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3616 
1.0
2415 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3616
60.0%
1.0 2415
40.0%

Length

2023-09-16T13:27:43.878312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:43.919392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3616
60.0%
1.0 2415
40.0%

Most occurring characters

ValueCountFrequency (%)
0 9647
53.3%
. 6031
33.3%
1 2415
 
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9647
80.0%
1 2415
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9647
53.3%
. 6031
33.3%
1 2415
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9647
53.3%
. 6031
33.3%
1 2415
 
13.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4035 
1.0
1996 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4035
66.9%
1.0 1996
33.1%

Length

2023-09-16T13:27:43.962775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.005139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4035
66.9%
1.0 1996
33.1%

Most occurring characters

ValueCountFrequency (%)
0 10066
55.6%
. 6031
33.3%
1 1996
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10066
83.5%
1 1996
 
16.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10066
55.6%
. 6031
33.3%
1 1996
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10066
55.6%
. 6031
33.3%
1 1996
 
11.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4096 
1.0
1935 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4096
67.9%
1.0 1935
32.1%

Length

2023-09-16T13:27:44.047496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.085979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4096
67.9%
1.0 1935
32.1%

Most occurring characters

ValueCountFrequency (%)
0 10127
56.0%
. 6031
33.3%
1 1935
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10127
84.0%
1 1935
 
16.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10127
56.0%
. 6031
33.3%
1 1935
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10127
56.0%
. 6031
33.3%
1 1935
 
10.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4576 
1.0
1455 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4576
75.9%
1.0 1455
 
24.1%

Length

2023-09-16T13:27:44.128978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.168011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4576
75.9%
1.0 1455
 
24.1%

Most occurring characters

ValueCountFrequency (%)
0 10607
58.6%
. 6031
33.3%
1 1455
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10607
87.9%
1 1455
 
12.1%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10607
58.6%
. 6031
33.3%
1 1455
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10607
58.6%
. 6031
33.3%
1 1455
 
8.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4886 
1.0
1145 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 4886
81.0%
1.0 1145
 
19.0%

Length

2023-09-16T13:27:44.210248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.248359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4886
81.0%
1.0 1145
 
19.0%

Most occurring characters

ValueCountFrequency (%)
0 10917
60.3%
. 6031
33.3%
1 1145
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10917
90.5%
1 1145
 
9.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10917
60.3%
. 6031
33.3%
1 1145
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10917
60.3%
. 6031
33.3%
1 1145
 
6.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5086 
1.0
945 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5086
84.3%
1.0 945
 
15.7%

Length

2023-09-16T13:27:44.289535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.328144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5086
84.3%
1.0 945
 
15.7%

Most occurring characters

ValueCountFrequency (%)
0 11117
61.4%
. 6031
33.3%
1 945
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11117
92.2%
1 945
 
7.8%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11117
61.4%
. 6031
33.3%
1 945
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11117
61.4%
. 6031
33.3%
1 945
 
5.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5270 
1.0
761 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5270
87.4%
1.0 761
 
12.6%

Length

2023-09-16T13:27:44.370696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.411552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5270
87.4%
1.0 761
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 11301
62.5%
. 6031
33.3%
1 761
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11301
93.7%
1 761
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11301
62.5%
. 6031
33.3%
1 761
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11301
62.5%
. 6031
33.3%
1 761
 
4.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
3187 
0.0
2844 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3187
52.8%
0.0 2844
47.2%

Length

2023-09-16T13:27:44.453804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.497027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3187
52.8%
0.0 2844
47.2%

Most occurring characters

ValueCountFrequency (%)
0 8875
49.1%
. 6031
33.3%
1 3187
 
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8875
73.6%
1 3187
 
26.4%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8875
49.1%
. 6031
33.3%
1 3187
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8875
49.1%
. 6031
33.3%
1 3187
 
17.6%

Symptom_Difficulty_falling_asleep
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3585 
1.0
2446 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3585
59.4%
1.0 2446
40.6%

Length

2023-09-16T13:27:44.541938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.583180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3585
59.4%
1.0 2446
40.6%

Most occurring characters

ValueCountFrequency (%)
0 9616
53.1%
. 6031
33.3%
1 2446
 
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9616
79.7%
1 2446
 
20.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9616
53.1%
. 6031
33.3%
1 2446
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9616
53.1%
. 6031
33.3%
1 2446
 
13.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4546 
1.0
1485 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4546
75.4%
1.0 1485
 
24.6%

Length

2023-09-16T13:27:44.627217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.667669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4546
75.4%
1.0 1485
 
24.6%

Most occurring characters

ValueCountFrequency (%)
0 10577
58.5%
. 6031
33.3%
1 1485
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10577
87.7%
1 1485
 
12.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10577
58.5%
. 6031
33.3%
1 1485
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10577
58.5%
. 6031
33.3%
1 1485
 
8.2%

Symptom_Waking_up_in_night
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3116 
1.0
2915 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3116
51.7%
1.0 2915
48.3%

Length

2023-09-16T13:27:44.712552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.754347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3116
51.7%
1.0 2915
48.3%

Most occurring characters

ValueCountFrequency (%)
0 9147
50.6%
. 6031
33.3%
1 2915
 
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9147
75.8%
1 2915
 
24.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9147
50.6%
. 6031
33.3%
1 2915
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9147
50.6%
. 6031
33.3%
1 2915
 
16.1%

Symptom_Hallucinations_visual
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5408 
1.0
623 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5408
89.7%
1.0 623
 
10.3%

Length

2023-09-16T13:27:44.796509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.834819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5408
89.7%
1.0 623
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0 11439
63.2%
. 6031
33.3%
1 623
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11439
94.8%
1 623
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11439
63.2%
. 6031
33.3%
1 623
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11439
63.2%
. 6031
33.3%
1 623
 
3.4%

Symptom_Hallucinations_auditory
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5602 
1.0
 
429

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5602
92.9%
1.0 429
 
7.1%

Length

2023-09-16T13:27:44.876526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.914696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5602
92.9%
1.0 429
 
7.1%

Most occurring characters

ValueCountFrequency (%)
0 11633
64.3%
. 6031
33.3%
1 429
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11633
96.4%
1 429
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11633
64.3%
. 6031
33.3%
1 429
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11633
64.3%
. 6031
33.3%
1 429
 
2.4%

Symptom_Hallucinations_tactile
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5828 
1.0
 
203

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5828
96.6%
1.0 203
 
3.4%

Length

2023-09-16T13:27:44.954402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:44.991937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5828
96.6%
1.0 203
 
3.4%

Most occurring characters

ValueCountFrequency (%)
0 11859
65.5%
. 6031
33.3%
1 203
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11859
98.3%
1 203
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11859
65.5%
. 6031
33.3%
1 203
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11859
65.5%
. 6031
33.3%
1 203
 
1.1%

Symptom_Hallucinations_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5890 
1.0
 
141

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5890
97.7%
1.0 141
 
2.3%

Length

2023-09-16T13:27:45.034162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.074448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5890
97.7%
1.0 141
 
2.3%

Most occurring characters

ValueCountFrequency (%)
0 11921
65.9%
. 6031
33.3%
1 141
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11921
98.8%
1 141
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11921
65.9%
. 6031
33.3%
1 141
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11921
65.9%
. 6031
33.3%
1 141
 
0.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3273 
1
2758 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3273
54.3%
1 2758
45.7%

Length

2023-09-16T13:27:45.117202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.157950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3273
54.3%
1 2758
45.7%

Most occurring characters

ValueCountFrequency (%)
0 3273
54.3%
1 2758
45.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3273
54.3%
1 2758
45.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3273
54.3%
1 2758
45.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3273
54.3%
1 2758
45.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3846 
1
2185 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3846
63.8%
1 2185
36.2%

Length

2023-09-16T13:27:45.360047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.400815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3846
63.8%
1 2185
36.2%

Most occurring characters

ValueCountFrequency (%)
0 3846
63.8%
1 2185
36.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3846
63.8%
1 2185
36.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3846
63.8%
1 2185
36.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3846
63.8%
1 2185
36.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5258 
1
773 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5258
87.2%
1 773
 
12.8%

Length

2023-09-16T13:27:45.444224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.485708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5258
87.2%
1 773
 
12.8%

Most occurring characters

ValueCountFrequency (%)
0 5258
87.2%
1 773
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5258
87.2%
1 773
 
12.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5258
87.2%
1 773
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5258
87.2%
1 773
 
12.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3905 
1
2126 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3905
64.7%
1 2126
35.3%

Length

2023-09-16T13:27:45.528622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.568192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3905
64.7%
1 2126
35.3%

Most occurring characters

ValueCountFrequency (%)
0 3905
64.7%
1 2126
35.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3905
64.7%
1 2126
35.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3905
64.7%
1 2126
35.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3905
64.7%
1 2126
35.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3130 
1
2901 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3130
51.9%
1 2901
48.1%

Length

2023-09-16T13:27:45.610367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.649152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3130
51.9%
1 2901
48.1%

Most occurring characters

ValueCountFrequency (%)
0 3130
51.9%
1 2901
48.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3130
51.9%
1 2901
48.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3130
51.9%
1 2901
48.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3130
51.9%
1 2901
48.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4518 
1
1513 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Length

2023-09-16T13:27:45.691628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.730610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3243 
1
2788 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 3243
53.8%
1 2788
46.2%

Length

2023-09-16T13:27:45.773654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.813988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3243
53.8%
1 2788
46.2%

Most occurring characters

ValueCountFrequency (%)
0 3243
53.8%
1 2788
46.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3243
53.8%
1 2788
46.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3243
53.8%
1 2788
46.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3243
53.8%
1 2788
46.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5553 
1
 
478

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5553
92.1%
1 478
 
7.9%

Length

2023-09-16T13:27:45.858510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.895640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5553
92.1%
1 478
 
7.9%

Most occurring characters

ValueCountFrequency (%)
0 5553
92.1%
1 478
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5553
92.1%
1 478
 
7.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5553
92.1%
1 478
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5553
92.1%
1 478
 
7.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5621 
1
 
410

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5621
93.2%
1 410
 
6.8%

Length

2023-09-16T13:27:45.939424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:45.977098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5621
93.2%
1 410
 
6.8%

Most occurring characters

ValueCountFrequency (%)
0 5621
93.2%
1 410
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5621
93.2%
1 410
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5621
93.2%
1 410
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5621
93.2%
1 410
 
6.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5668 
1
 
363

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5668
94.0%
1 363
 
6.0%

Length

2023-09-16T13:27:46.017002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.056091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5668
94.0%
1 363
 
6.0%

Most occurring characters

ValueCountFrequency (%)
0 5668
94.0%
1 363
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5668
94.0%
1 363
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5668
94.0%
1 363
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5668
94.0%
1 363
 
6.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5838 
1
 
193

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5838
96.8%
1 193
 
3.2%

Length

2023-09-16T13:27:46.099558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.139505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5838
96.8%
1 193
 
3.2%

Most occurring characters

ValueCountFrequency (%)
0 5838
96.8%
1 193
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5838
96.8%
1 193
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5838
96.8%
1 193
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5838
96.8%
1 193
 
3.2%

Symptom_Temp_lability
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3745 
1.0
2286 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 3745
62.1%
1.0 2286
37.9%

Length

2023-09-16T13:27:46.181947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.222440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3745
62.1%
1.0 2286
37.9%

Most occurring characters

ValueCountFrequency (%)
0 9776
54.0%
. 6031
33.3%
1 2286
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9776
81.0%
1 2286
 
19.0%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9776
54.0%
. 6031
33.3%
1 2286
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9776
54.0%
. 6031
33.3%
1 2286
 
12.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4359 
1.0
1672 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 4359
72.3%
1.0 1672
 
27.7%

Length

2023-09-16T13:27:46.266365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.307470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4359
72.3%
1.0 1672
 
27.7%

Most occurring characters

ValueCountFrequency (%)
0 10390
57.4%
. 6031
33.3%
1 1672
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10390
86.1%
1 1672
 
13.9%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10390
57.4%
. 6031
33.3%
1 1672
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10390
57.4%
. 6031
33.3%
1 1672
 
9.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3673 
1.0
2358 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3673
60.9%
1.0 2358
39.1%

Length

2023-09-16T13:27:46.350967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.391306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3673
60.9%
1.0 2358
39.1%

Most occurring characters

ValueCountFrequency (%)
0 9704
53.6%
. 6031
33.3%
1 2358
 
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9704
80.5%
1 2358
 
19.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9704
53.6%
. 6031
33.3%
1 2358
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9704
53.6%
. 6031
33.3%
1 2358
 
13.0%

Symptom_Elevated_temp
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
3319 
0.0
2712 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3319
55.0%
0.0 2712
45.0%

Length

2023-09-16T13:27:46.435506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.476900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3319
55.0%
0.0 2712
45.0%

Most occurring characters

ValueCountFrequency (%)
0 8743
48.3%
. 6031
33.3%
1 3319
 
18.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8743
72.5%
1 3319
 
27.5%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8743
48.3%
. 6031
33.3%
1 3319
 
18.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8743
48.3%
. 6031
33.3%
1 3319
 
18.3%

Symptom_Fever
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4228 
1.0
1803 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4228
70.1%
1.0 1803
29.9%

Length

2023-09-16T13:27:46.521800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.562452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4228
70.1%
1.0 1803
29.9%

Most occurring characters

ValueCountFrequency (%)
0 10259
56.7%
. 6031
33.3%
1 1803
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10259
85.1%
1 1803
 
14.9%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10259
56.7%
. 6031
33.3%
1 1803
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10259
56.7%
. 6031
33.3%
1 1803
 
10.0%

Symptom_Low_temp
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
4860 
1.0
1171 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4860
80.6%
1.0 1171
 
19.4%

Length

2023-09-16T13:27:46.603937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.644789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4860
80.6%
1.0 1171
 
19.4%

Most occurring characters

ValueCountFrequency (%)
0 10891
60.2%
. 6031
33.3%
1 1171
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10891
90.3%
1 1171
 
9.7%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10891
60.2%
. 6031
33.3%
1 1171
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10891
60.2%
. 6031
33.3%
1 1171
 
6.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1.0
3273 
0.0
2758 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3273
54.3%
0.0 2758
45.7%

Length

2023-09-16T13:27:46.688189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.729339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3273
54.3%
0.0 2758
45.7%

Most occurring characters

ValueCountFrequency (%)
0 8789
48.6%
. 6031
33.3%
1 3273
 
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8789
72.9%
1 3273
 
27.1%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8789
48.6%
. 6031
33.3%
1 3273
 
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8789
48.6%
. 6031
33.3%
1 3273
 
18.1%

Symptom_Tachycardia
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3572 
0
2459 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3572
59.2%
0 2459
40.8%

Length

2023-09-16T13:27:46.773644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.814339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3572
59.2%
0 2459
40.8%

Most occurring characters

ValueCountFrequency (%)
1 3572
59.2%
0 2459
40.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3572
59.2%
0 2459
40.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3572
59.2%
0 2459
40.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3572
59.2%
0 2459
40.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5040 
1
991 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5040
83.6%
1 991
 
16.4%

Length

2023-09-16T13:27:46.857416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.899316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5040
83.6%
1 991
 
16.4%

Most occurring characters

ValueCountFrequency (%)
0 5040
83.6%
1 991
 
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5040
83.6%
1 991
 
16.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5040
83.6%
1 991
 
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5040
83.6%
1 991
 
16.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3959 
0
2072 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3959
65.6%
0 2072
34.4%

Length

2023-09-16T13:27:46.942624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:46.982610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3959
65.6%
0 2072
34.4%

Most occurring characters

ValueCountFrequency (%)
1 3959
65.6%
0 2072
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3959
65.6%
0 2072
34.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3959
65.6%
0 2072
34.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3959
65.6%
0 2072
34.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5037 
1
994 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5037
83.5%
1 994
 
16.5%

Length

2023-09-16T13:27:47.025268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.063265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5037
83.5%
1 994
 
16.5%

Most occurring characters

ValueCountFrequency (%)
0 5037
83.5%
1 994
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5037
83.5%
1 994
 
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5037
83.5%
1 994
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5037
83.5%
1 994
 
16.5%

Symptom_Fainting
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5261 
1
770 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5261
87.2%
1 770
 
12.8%

Length

2023-09-16T13:27:47.106228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.146873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5261
87.2%
1 770
 
12.8%

Most occurring characters

ValueCountFrequency (%)
0 5261
87.2%
1 770
 
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5261
87.2%
1 770
 
12.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5261
87.2%
1 770
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5261
87.2%
1 770
 
12.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
4056 
0
1975 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4056
67.3%
0 1975
32.7%

Length

2023-09-16T13:27:47.190048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.230454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4056
67.3%
0 1975
32.7%

Most occurring characters

ValueCountFrequency (%)
1 4056
67.3%
0 1975
32.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4056
67.3%
0 1975
32.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4056
67.3%
0 1975
32.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4056
67.3%
0 1975
32.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4135 
1
1896 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4135
68.6%
1 1896
31.4%

Length

2023-09-16T13:27:47.273591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.315523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4135
68.6%
1 1896
31.4%

Most occurring characters

ValueCountFrequency (%)
0 4135
68.6%
1 1896
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4135
68.6%
1 1896
31.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4135
68.6%
1 1896
31.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4135
68.6%
1 1896
31.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3415 
0
2616 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3415
56.6%
0 2616
43.4%

Length

2023-09-16T13:27:47.358934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.396920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3415
56.6%
0 2616
43.4%

Most occurring characters

ValueCountFrequency (%)
1 3415
56.6%
0 2616
43.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3415
56.6%
0 2616
43.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3415
56.6%
0 2616
43.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3415
56.6%
0 2616
43.4%

Symptom_New_anaphylaxis
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5772 
1
 
259

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5772
95.7%
1 259
 
4.3%

Length

2023-09-16T13:27:47.437235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.476482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5772
95.7%
1 259
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 5772
95.7%
1 259
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5772
95.7%
1 259
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5772
95.7%
1 259
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5772
95.7%
1 259
 
4.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4864 
1
1167 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4864
80.6%
1 1167
 
19.4%

Length

2023-09-16T13:27:47.519553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.559761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4864
80.6%
1 1167
 
19.4%

Most occurring characters

ValueCountFrequency (%)
0 4864
80.6%
1 1167
 
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4864
80.6%
1 1167
 
19.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4864
80.6%
1 1167
 
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4864
80.6%
1 1167
 
19.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5024 
1
1007 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5024
83.3%
1 1007
 
16.7%

Length

2023-09-16T13:27:47.603771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.644259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5024
83.3%
1 1007
 
16.7%

Most occurring characters

ValueCountFrequency (%)
0 5024
83.3%
1 1007
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5024
83.3%
1 1007
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5024
83.3%
1 1007
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5024
83.3%
1 1007
 
16.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4474 
1
1557 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4474
74.2%
1 1557
 
25.8%

Length

2023-09-16T13:27:47.687713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.728853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4474
74.2%
1 1557
 
25.8%

Most occurring characters

ValueCountFrequency (%)
0 4474
74.2%
1 1557
 
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4474
74.2%
1 1557
 
25.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4474
74.2%
1 1557
 
25.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4474
74.2%
1 1557
 
25.8%

Symptom_Diarrhea
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3325 
0
2706 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3325
55.1%
0 2706
44.9%

Length

2023-09-16T13:27:47.772653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.813497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3325
55.1%
0 2706
44.9%

Most occurring characters

ValueCountFrequency (%)
1 3325
55.1%
0 2706
44.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3325
55.1%
0 2706
44.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3325
55.1%
0 2706
44.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3325
55.1%
0 2706
44.9%

Symptom_Vomiting
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5127 
1
904 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5127
85.0%
1 904
 
15.0%

Length

2023-09-16T13:27:47.856791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.897762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5127
85.0%
1 904
 
15.0%

Most occurring characters

ValueCountFrequency (%)
0 5127
85.0%
1 904
 
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5127
85.0%
1 904
 
15.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5127
85.0%
1 904
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5127
85.0%
1 904
 
15.0%

Symptom_Nausea
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3233 
1
2798 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3233
53.6%
1 2798
46.4%

Length

2023-09-16T13:27:47.941006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:47.981598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3233
53.6%
1 2798
46.4%

Most occurring characters

ValueCountFrequency (%)
0 3233
53.6%
1 2798
46.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3233
53.6%
1 2798
46.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3233
53.6%
1 2798
46.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3233
53.6%
1 2798
46.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3021 
1
3010 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3021
50.1%
1 3010
49.9%

Length

2023-09-16T13:27:48.025797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.065930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3021
50.1%
1 3010
49.9%

Most occurring characters

ValueCountFrequency (%)
0 3021
50.1%
1 3010
49.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3021
50.1%
1 3010
49.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3021
50.1%
1 3010
49.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3021
50.1%
1 3010
49.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3973 
1
2058 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3973
65.9%
1 2058
34.1%

Length

2023-09-16T13:27:48.109716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.149826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3973
65.9%
1 2058
34.1%

Most occurring characters

ValueCountFrequency (%)
0 3973
65.9%
1 2058
34.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3973
65.9%
1 2058
34.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3973
65.9%
1 2058
34.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3973
65.9%
1 2058
34.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3835 
0
2196 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3835
63.6%
0 2196
36.4%

Length

2023-09-16T13:27:48.193622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.235544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3835
63.6%
0 2196
36.4%

Most occurring characters

ValueCountFrequency (%)
1 3835
63.6%
0 2196
36.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3835
63.6%
0 2196
36.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3835
63.6%
0 2196
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3835
63.6%
0 2196
36.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4276 
1
1755 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4276
70.9%
1 1755
29.1%

Length

2023-09-16T13:27:48.280355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.321898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4276
70.9%
1 1755
29.1%

Most occurring characters

ValueCountFrequency (%)
0 4276
70.9%
1 1755
29.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4276
70.9%
1 1755
29.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4276
70.9%
1 1755
29.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4276
70.9%
1 1755
29.1%

Symptom_Coughing_up_blood
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5742 
1
 
289

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5742
95.2%
1 289
 
4.8%

Length

2023-09-16T13:27:48.365775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.406091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5742
95.2%
1 289
 
4.8%

Most occurring characters

ValueCountFrequency (%)
0 5742
95.2%
1 289
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5742
95.2%
1 289
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5742
95.2%
1 289
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5742
95.2%
1 289
 
4.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
4444 
0
1587 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4444
73.7%
0 1587
 
26.3%

Length

2023-09-16T13:27:48.448495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.488621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4444
73.7%
0 1587
 
26.3%

Most occurring characters

ValueCountFrequency (%)
1 4444
73.7%
0 1587
 
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4444
73.7%
0 1587
 
26.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4444
73.7%
0 1587
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4444
73.7%
0 1587
 
26.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
4102 
0
1929 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4102
68.0%
0 1929
32.0%

Length

2023-09-16T13:27:48.532103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.572661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4102
68.0%
0 1929
32.0%

Most occurring characters

ValueCountFrequency (%)
1 4102
68.0%
0 1929
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4102
68.0%
0 1929
32.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4102
68.0%
0 1929
32.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4102
68.0%
0 1929
32.0%

Symptom_Sneezing
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4383 
1
1648 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4383
72.7%
1 1648
 
27.3%

Length

2023-09-16T13:27:48.617325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.657866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4383
72.7%
1 1648
 
27.3%

Most occurring characters

ValueCountFrequency (%)
0 4383
72.7%
1 1648
 
27.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4383
72.7%
1 1648
 
27.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4383
72.7%
1 1648
 
27.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4383
72.7%
1 1648
 
27.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4054 
1
1977 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4054
67.2%
1 1977
32.8%

Length

2023-09-16T13:27:48.699515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:48.738951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4054
67.2%
1 1977
32.8%

Most occurring characters

ValueCountFrequency (%)
0 4054
67.2%
1 1977
32.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4054
67.2%
1 1977
32.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4054
67.2%
1 1977
32.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4054
67.2%
1 1977
32.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3179 
1
2852 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3179
52.7%
1 2852
47.3%

Length

2023-09-16T13:27:48.782672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.003607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3179
52.7%
1 2852
47.3%

Most occurring characters

ValueCountFrequency (%)
0 3179
52.7%
1 2852
47.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3179
52.7%
1 2852
47.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3179
52.7%
1 2852
47.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3179
52.7%
1 2852
47.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4976 
1
1055 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4976
82.5%
1 1055
 
17.5%

Length

2023-09-16T13:27:49.047762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.089664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4976
82.5%
1 1055
 
17.5%

Most occurring characters

ValueCountFrequency (%)
0 4976
82.5%
1 1055
 
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4976
82.5%
1 1055
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4976
82.5%
1 1055
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4976
82.5%
1 1055
 
17.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3328 
0
2703 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3328
55.2%
0 2703
44.8%

Length

2023-09-16T13:27:49.134849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.176162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3328
55.2%
0 2703
44.8%

Most occurring characters

ValueCountFrequency (%)
1 3328
55.2%
0 2703
44.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3328
55.2%
0 2703
44.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3328
55.2%
0 2703
44.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3328
55.2%
0 2703
44.8%

Symptom_Respiratory_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5512 
1
 
519

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5512
91.4%
1 519
 
8.6%

Length

2023-09-16T13:27:49.220293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.261343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5512
91.4%
1 519
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0 5512
91.4%
1 519
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5512
91.4%
1 519
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5512
91.4%
1 519
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5512
91.4%
1 519
 
8.6%

Symptom_Hearing_loss
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5446 
1
585 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5446
90.3%
1 585
 
9.7%

Length

2023-09-16T13:27:49.308463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.349054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5446
90.3%
1 585
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0 5446
90.3%
1 585
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5446
90.3%
1 585
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5446
90.3%
1 585
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5446
90.3%
1 585
 
9.7%

Symptom_Tinnitus
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3974 
1
2057 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 3974
65.9%
1 2057
34.1%

Length

2023-09-16T13:27:49.393200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.433493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3974
65.9%
1 2057
34.1%

Most occurring characters

ValueCountFrequency (%)
0 3974
65.9%
1 2057
34.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3974
65.9%
1 2057
34.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3974
65.9%
1 2057
34.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3974
65.9%
1 2057
34.1%

Symptom_Eye_vision_symptoms
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3939 
1
2092 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3939
65.3%
1 2092
34.7%

Length

2023-09-16T13:27:49.478099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.519215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3939
65.3%
1 2092
34.7%

Most occurring characters

ValueCountFrequency (%)
0 3939
65.3%
1 2092
34.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3939
65.3%
1 2092
34.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3939
65.3%
1 2092
34.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3939
65.3%
1 2092
34.7%

Symptom_Reproductive_all_menstrual_issues
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4924 
1
1107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4924
81.6%
1 1107
 
18.4%

Length

2023-09-16T13:27:49.562971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.604294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4924
81.6%
1 1107
 
18.4%

Most occurring characters

ValueCountFrequency (%)
0 4924
81.6%
1 1107
 
18.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4924
81.6%
1 1107
 
18.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4924
81.6%
1 1107
 
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4924
81.6%
1 1107
 
18.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5085 
1
946 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5085
84.3%
1 946
 
15.7%

Length

2023-09-16T13:27:49.647686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.688618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5085
84.3%
1 946
 
15.7%

Most occurring characters

ValueCountFrequency (%)
0 5085
84.3%
1 946
 
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5085
84.3%
1 946
 
15.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5085
84.3%
1 946
 
15.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5085
84.3%
1 946
 
15.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5271 
1
760 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5271
87.4%
1 760
 
12.6%

Length

2023-09-16T13:27:49.732762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.773488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5271
87.4%
1 760
 
12.6%

Most occurring characters

ValueCountFrequency (%)
0 5271
87.4%
1 760
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5271
87.4%
1 760
 
12.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5271
87.4%
1 760
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5271
87.4%
1 760
 
12.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5047 
1
984 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5047
83.7%
1 984
 
16.3%

Length

2023-09-16T13:27:49.817267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.857568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5047
83.7%
1 984
 
16.3%

Most occurring characters

ValueCountFrequency (%)
0 5047
83.7%
1 984
 
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5047
83.7%
1 984
 
16.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5047
83.7%
1 984
 
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5047
83.7%
1 984
 
16.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5253 
1
778 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5253
87.1%
1 778
 
12.9%

Length

2023-09-16T13:27:49.901160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:49.939720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5253
87.1%
1 778
 
12.9%

Most occurring characters

ValueCountFrequency (%)
0 5253
87.1%
1 778
 
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5253
87.1%
1 778
 
12.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5253
87.1%
1 778
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5253
87.1%
1 778
 
12.9%

Symptom_Dermatographia
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5546 
1
 
485

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5546
92.0%
1 485
 
8.0%

Length

2023-09-16T13:27:49.984985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.027395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5546
92.0%
1 485
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 5546
92.0%
1 485
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5546
92.0%
1 485
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5546
92.0%
1 485
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5546
92.0%
1 485
 
8.0%

Symptom_Skin_rashes
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4444 
1
1587 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4444
73.7%
1 1587
 
26.3%

Length

2023-09-16T13:27:50.071745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.112495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4444
73.7%
1 1587
 
26.3%

Most occurring characters

ValueCountFrequency (%)
0 4444
73.7%
1 1587
 
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4444
73.7%
1 1587
 
26.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4444
73.7%
1 1587
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4444
73.7%
1 1587
 
26.3%

Symptom_Skin_Allergy_other
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5460 
1
571 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5460
90.5%
1 571
 
9.5%

Length

2023-09-16T13:27:50.156321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.197170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5460
90.5%
1 571
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 5460
90.5%
1 571
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5460
90.5%
1 571
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5460
90.5%
1 571
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5460
90.5%
1 571
 
9.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4016 
1
2015 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4016
66.6%
1 2015
33.4%

Length

2023-09-16T13:27:50.240563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.281364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4016
66.6%
1 2015
33.4%

Most occurring characters

ValueCountFrequency (%)
0 4016
66.6%
1 2015
33.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4016
66.6%
1 2015
33.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4016
66.6%
1 2015
33.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4016
66.6%
1 2015
33.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
4084 
0
1947 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4084
67.7%
0 1947
32.3%

Length

2023-09-16T13:27:50.324786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.364856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4084
67.7%
0 1947
32.3%

Most occurring characters

ValueCountFrequency (%)
1 4084
67.7%
0 1947
32.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4084
67.7%
0 1947
32.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4084
67.7%
0 1947
32.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4084
67.7%
0 1947
32.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
3298 
0
2733 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 3298
54.7%
0 2733
45.3%

Length

2023-09-16T13:27:50.408845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.449115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3298
54.7%
0 2733
45.3%

Most occurring characters

ValueCountFrequency (%)
1 3298
54.7%
0 2733
45.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3298
54.7%
0 2733
45.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3298
54.7%
0 2733
45.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3298
54.7%
0 2733
45.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4518 
1
1513 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Length

2023-09-16T13:27:50.492665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.532701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4518
74.9%
1 1513
 
25.1%

Symptom_Inability_to_yawn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5705 
1
 
326

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5705
94.6%
1 326
 
5.4%

Length

2023-09-16T13:27:50.576762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.616740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5705
94.6%
1 326
 
5.4%

Most occurring characters

ValueCountFrequency (%)
0 5705
94.6%
1 326
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5705
94.6%
1 326
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5705
94.6%
1 326
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5705
94.6%
1 326
 
5.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4188 
1
1843 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4188
69.4%
1 1843
30.6%

Length

2023-09-16T13:27:50.659238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.700220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4188
69.4%
1 1843
30.6%

Most occurring characters

ValueCountFrequency (%)
0 4188
69.4%
1 1843
30.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4188
69.4%
1 1843
30.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4188
69.4%
1 1843
30.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4188
69.4%
1 1843
30.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4520 
1
1511 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 4520
74.9%
1 1511
 
25.1%

Length

2023-09-16T13:27:50.743792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.787370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4520
74.9%
1 1511
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4520
74.9%
1 1511
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4520
74.9%
1 1511
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4520
74.9%
1 1511
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4520
74.9%
1 1511
 
25.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4057 
1
1974 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4057
67.3%
1 1974
32.7%

Length

2023-09-16T13:27:50.831918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.874046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4057
67.3%
1 1974
32.7%

Most occurring characters

ValueCountFrequency (%)
0 4057
67.3%
1 1974
32.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4057
67.3%
1 1974
32.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4057
67.3%
1 1974
32.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4057
67.3%
1 1974
32.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3913 
1
2118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3913
64.9%
1 2118
35.1%

Length

2023-09-16T13:27:50.919663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:50.959014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3913
64.9%
1 2118
35.1%

Most occurring characters

ValueCountFrequency (%)
0 3913
64.9%
1 2118
35.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3913
64.9%
1 2118
35.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3913
64.9%
1 2118
35.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3913
64.9%
1 2118
35.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4542 
1
1489 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4542
75.3%
1 1489
 
24.7%

Length

2023-09-16T13:27:51.002184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.043571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4542
75.3%
1 1489
 
24.7%

Most occurring characters

ValueCountFrequency (%)
0 4542
75.3%
1 1489
 
24.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4542
75.3%
1 1489
 
24.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4542
75.3%
1 1489
 
24.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4542
75.3%
1 1489
 
24.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4731 
1
1300 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4731
78.4%
1 1300
 
21.6%

Length

2023-09-16T13:27:51.088173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.128189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4731
78.4%
1 1300
 
21.6%

Most occurring characters

ValueCountFrequency (%)
0 4731
78.4%
1 1300
 
21.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4731
78.4%
1 1300
 
21.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4731
78.4%
1 1300
 
21.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4731
78.4%
1 1300
 
21.6%

Symptom_Ear_numbness
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5733 
1
 
298

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5733
95.1%
1 298
 
4.9%

Length

2023-09-16T13:27:51.170139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.209202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5733
95.1%
1 298
 
4.9%

Most occurring characters

ValueCountFrequency (%)
0 5733
95.1%
1 298
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5733
95.1%
1 298
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5733
95.1%
1 298
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5733
95.1%
1 298
 
4.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4780 
1
1251 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4780
79.3%
1 1251
 
20.7%

Length

2023-09-16T13:27:51.249794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.288719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4780
79.3%
1 1251
 
20.7%

Most occurring characters

ValueCountFrequency (%)
0 4780
79.3%
1 1251
 
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4780
79.3%
1 1251
 
20.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4780
79.3%
1 1251
 
20.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4780
79.3%
1 1251
 
20.7%

Symptom_Eye_Vision_blurred_vision
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3793 
1
2238 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3793
62.9%
1 2238
37.1%

Length

2023-09-16T13:27:51.330372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.368958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3793
62.9%
1 2238
37.1%

Most occurring characters

ValueCountFrequency (%)
0 3793
62.9%
1 2238
37.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3793
62.9%
1 2238
37.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3793
62.9%
1 2238
37.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3793
62.9%
1 2238
37.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4138 
1
1893 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4138
68.6%
1 1893
31.4%

Length

2023-09-16T13:27:51.410798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.449929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4138
68.6%
1 1893
31.4%

Most occurring characters

ValueCountFrequency (%)
0 4138
68.6%
1 1893
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4138
68.6%
1 1893
31.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4138
68.6%
1 1893
31.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4138
68.6%
1 1893
31.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4295 
1
1736 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4295
71.2%
1 1736
28.8%

Length

2023-09-16T13:27:51.492247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.530989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4295
71.2%
1 1736
28.8%

Most occurring characters

ValueCountFrequency (%)
0 4295
71.2%
1 1736
28.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4295
71.2%
1 1736
28.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4295
71.2%
1 1736
28.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4295
71.2%
1 1736
28.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4467 
1
1564 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4467
74.1%
1 1564
 
25.9%

Length

2023-09-16T13:27:51.573112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.611594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4467
74.1%
1 1564
 
25.9%

Most occurring characters

ValueCountFrequency (%)
0 4467
74.1%
1 1564
 
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4467
74.1%
1 1564
 
25.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4467
74.1%
1 1564
 
25.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4467
74.1%
1 1564
 
25.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4801 
1
1230 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4801
79.6%
1 1230
 
20.4%

Length

2023-09-16T13:27:51.654058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.706393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4801
79.6%
1 1230
 
20.4%

Most occurring characters

ValueCountFrequency (%)
0 4801
79.6%
1 1230
 
20.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4801
79.6%
1 1230
 
20.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4801
79.6%
1 1230
 
20.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4801
79.6%
1 1230
 
20.4%

Symptom_Eye_Vision_double_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5551 
1
 
480

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5551
92.0%
1 480
 
8.0%

Length

2023-09-16T13:27:51.751876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.791103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5551
92.0%
1 480
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0 5551
92.0%
1 480
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5551
92.0%
1 480
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5551
92.0%
1 480
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5551
92.0%
1 480
 
8.0%

Symptom_Eye_Vision_tunnel_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5800 
1
 
231

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5800
96.2%
1 231
 
3.8%

Length

2023-09-16T13:27:51.832092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.870813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5800
96.2%
1 231
 
3.8%

Most occurring characters

ValueCountFrequency (%)
0 5800
96.2%
1 231
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5800
96.2%
1 231
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5800
96.2%
1 231
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5800
96.2%
1 231
 
3.8%

Symptom_Eye_Vision_loss_of_vision
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5964 
1
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5964
98.9%
1 67
 
1.1%

Length

2023-09-16T13:27:51.912573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:51.953311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5964
98.9%
1 67
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 5964
98.9%
1 67
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5964
98.9%
1 67
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5964
98.9%
1 67
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5964
98.9%
1 67
 
1.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5265 
1
766 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5265
87.3%
1 766
 
12.7%

Length

2023-09-16T13:27:51.996821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.036222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5265
87.3%
1 766
 
12.7%

Most occurring characters

ValueCountFrequency (%)
0 5265
87.3%
1 766
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5265
87.3%
1 766
 
12.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5265
87.3%
1 766
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5265
87.3%
1 766
 
12.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5180 
1
851 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5180
85.9%
1 851
 
14.1%

Length

2023-09-16T13:27:52.078359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.116745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5180
85.9%
1 851
 
14.1%

Most occurring characters

ValueCountFrequency (%)
0 5180
85.9%
1 851
 
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5180
85.9%
1 851
 
14.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5180
85.9%
1 851
 
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5180
85.9%
1 851
 
14.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5529 
1
 
502

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 5529
91.7%
1 502
 
8.3%

Length

2023-09-16T13:27:52.160866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.202614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5529
91.7%
1 502
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0 5529
91.7%
1 502
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5529
91.7%
1 502
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5529
91.7%
1 502
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5529
91.7%
1 502
 
8.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5225 
1
806 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5225
86.6%
1 806
 
13.4%

Length

2023-09-16T13:27:52.248523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.291677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5225
86.6%
1 806
 
13.4%

Most occurring characters

ValueCountFrequency (%)
0 5225
86.6%
1 806
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5225
86.6%
1 806
 
13.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5225
86.6%
1 806
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5225
86.6%
1 806
 
13.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4515 
1
1516 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4515
74.9%
1 1516
 
25.1%

Length

2023-09-16T13:27:52.339257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.382363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4515
74.9%
1 1516
 
25.1%

Most occurring characters

ValueCountFrequency (%)
0 4515
74.9%
1 1516
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4515
74.9%
1 1516
 
25.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4515
74.9%
1 1516
 
25.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4515
74.9%
1 1516
 
25.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5947 
1
 
84

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5947
98.6%
1 84
 
1.4%

Length

2023-09-16T13:27:52.428892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.469752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5947
98.6%
1 84
 
1.4%

Most occurring characters

ValueCountFrequency (%)
0 5947
98.6%
1 84
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5947
98.6%
1 84
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5947
98.6%
1 84
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5947
98.6%
1 84
 
1.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5456 
1
575 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5456
90.5%
1 575
 
9.5%

Length

2023-09-16T13:27:52.515676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.558874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5456
90.5%
1 575
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 5456
90.5%
1 575
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5456
90.5%
1 575
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5456
90.5%
1 575
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5456
90.5%
1 575
 
9.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5811 
1
 
220

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5811
96.4%
1 220
 
3.6%

Length

2023-09-16T13:27:52.603133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.646186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5811
96.4%
1 220
 
3.6%

Most occurring characters

ValueCountFrequency (%)
0 5811
96.4%
1 220
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5811
96.4%
1 220
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5811
96.4%
1 220
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5811
96.4%
1 220
 
3.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5350 
1
681 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5350
88.7%
1 681
 
11.3%

Length

2023-09-16T13:27:52.690911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.733770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5350
88.7%
1 681
 
11.3%

Most occurring characters

ValueCountFrequency (%)
0 5350
88.7%
1 681
 
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5350
88.7%
1 681
 
11.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5350
88.7%
1 681
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5350
88.7%
1 681
 
11.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5934 
1
 
97

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5934
98.4%
1 97
 
1.6%

Length

2023-09-16T13:27:52.780242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.820996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5934
98.4%
1 97
 
1.6%

Most occurring characters

ValueCountFrequency (%)
0 5934
98.4%
1 97
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5934
98.4%
1 97
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5934
98.4%
1 97
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5934
98.4%
1 97
 
1.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5105 
1
926 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5105
84.6%
1 926
 
15.4%

Length

2023-09-16T13:27:52.863549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.904069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5105
84.6%
1 926
 
15.4%

Most occurring characters

ValueCountFrequency (%)
0 5105
84.6%
1 926
 
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5105
84.6%
1 926
 
15.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5105
84.6%
1 926
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5105
84.6%
1 926
 
15.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5488 
1
 
543

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 5488
91.0%
1 543
 
9.0%

Length

2023-09-16T13:27:52.948121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:52.989939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5488
91.0%
1 543
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0 5488
91.0%
1 543
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5488
91.0%
1 543
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5488
91.0%
1 543
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5488
91.0%
1 543
 
9.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5303 
1
728 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5303
87.9%
1 728
 
12.1%

Length

2023-09-16T13:27:53.036431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.082097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5303
87.9%
1 728
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0 5303
87.9%
1 728
 
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5303
87.9%
1 728
 
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5303
87.9%
1 728
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5303
87.9%
1 728
 
12.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4147 
1
1884 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 4147
68.8%
1 1884
31.2%

Length

2023-09-16T13:27:53.128451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.169860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4147
68.8%
1 1884
31.2%

Most occurring characters

ValueCountFrequency (%)
0 4147
68.8%
1 1884
31.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4147
68.8%
1 1884
31.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4147
68.8%
1 1884
31.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4147
68.8%
1 1884
31.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
3539 
1
2492 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 3539
58.7%
1 2492
41.3%

Length

2023-09-16T13:27:53.214794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.255579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3539
58.7%
1 2492
41.3%

Most occurring characters

ValueCountFrequency (%)
0 3539
58.7%
1 2492
41.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3539
58.7%
1 2492
41.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3539
58.7%
1 2492
41.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3539
58.7%
1 2492
41.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4592 
1
1439 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4592
76.1%
1 1439
 
23.9%

Length

2023-09-16T13:27:53.297900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.563148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4592
76.1%
1 1439
 
23.9%

Most occurring characters

ValueCountFrequency (%)
0 4592
76.1%
1 1439
 
23.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4592
76.1%
1 1439
 
23.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4592
76.1%
1 1439
 
23.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4592
76.1%
1 1439
 
23.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4111 
1
1920 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4111
68.2%
1 1920
31.8%

Length

2023-09-16T13:27:53.605228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.644183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4111
68.2%
1 1920
31.8%

Most occurring characters

ValueCountFrequency (%)
0 4111
68.2%
1 1920
31.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4111
68.2%
1 1920
31.8%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4111
68.2%
1 1920
31.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4111
68.2%
1 1920
31.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4553 
1
1478 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 4553
75.5%
1 1478
 
24.5%

Length

2023-09-16T13:27:53.687367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.726134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4553
75.5%
1 1478
 
24.5%

Most occurring characters

ValueCountFrequency (%)
0 4553
75.5%
1 1478
 
24.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4553
75.5%
1 1478
 
24.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4553
75.5%
1 1478
 
24.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4553
75.5%
1 1478
 
24.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5284 
1
747 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5284
87.6%
1 747
 
12.4%

Length

2023-09-16T13:27:53.768550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.806947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5284
87.6%
1 747
 
12.4%

Most occurring characters

ValueCountFrequency (%)
0 5284
87.6%
1 747
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5284
87.6%
1 747
 
12.4%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5284
87.6%
1 747
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5284
87.6%
1 747
 
12.4%

Symptom_SkinAllergy_brittle_nail
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5371 
1
660 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5371
89.1%
1 660
 
10.9%

Length

2023-09-16T13:27:53.849132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.888011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5371
89.1%
1 660
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0 5371
89.1%
1 660
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5371
89.1%
1 660
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5371
89.1%
1 660
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5371
89.1%
1 660
 
10.9%

Symptom_SkinAllergy_other_itchy
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5685 
1
 
346

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5685
94.3%
1 346
 
5.7%

Length

2023-09-16T13:27:53.930136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:53.969330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5685
94.3%
1 346
 
5.7%

Most occurring characters

ValueCountFrequency (%)
0 5685
94.3%
1 346
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5685
94.3%
1 346
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5685
94.3%
1 346
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5685
94.3%
1 346
 
5.7%

Symptom_SkinAllergy_shingles
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5876 
1
 
155

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5876
97.4%
1 155
 
2.6%

Length

2023-09-16T13:27:54.011160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.053798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5876
97.4%
1 155
 
2.6%

Most occurring characters

ValueCountFrequency (%)
0 5876
97.4%
1 155
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5876
97.4%
1 155
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5876
97.4%
1 155
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5876
97.4%
1 155
 
2.6%

Symptom_PEM
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
5329 
0
702 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5329
88.4%
0 702
 
11.6%

Length

2023-09-16T13:27:54.097586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.143418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5329
88.4%
0 702
 
11.6%

Most occurring characters

ValueCountFrequency (%)
1 5329
88.4%
0 702
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5329
88.4%
0 702
 
11.6%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5329
88.4%
0 702
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5329
88.4%
0 702
 
11.6%

Symptom_Fatigue
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
1
5907 
0
 
124

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5907
97.9%
0 124
 
2.1%

Length

2023-09-16T13:27:54.187858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.229284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5907
97.9%
0 124
 
2.1%

Most occurring characters

ValueCountFrequency (%)
1 5907
97.9%
0 124
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5907
97.9%
0 124
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5907
97.9%
0 124
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5907
97.9%
0 124
 
2.1%

Symptom_Change_sensitivity_to_meds
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
4771 
1
1260 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4771
79.1%
1 1260
 
20.9%

Length

2023-09-16T13:27:54.272816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.319808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4771
79.1%
1 1260
 
20.9%

Most occurring characters

ValueCountFrequency (%)
0 4771
79.1%
1 1260
 
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4771
79.1%
1 1260
 
20.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4771
79.1%
1 1260
 
20.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4771
79.1%
1 1260
 
20.9%

Symptom_New_allergies
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0
5361 
1
670 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6031
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5361
88.9%
1 670
 
11.1%

Length

2023-09-16T13:27:54.367548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.411464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5361
88.9%
1 670
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0 5361
88.9%
1 670
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6031
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5361
88.9%
1 670
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6031
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5361
88.9%
1 670
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5361
88.9%
1 670
 
11.1%

Demographics_Ancestry_Cleaned
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing25
Missing (%)0.4%
Memory size47.2 KiB
White
5031 
Multiple ancestries, including white
 
356
Asian, South Asian, South East Asian
 
171
Hispanic, Latino, or Spanish Origin
 
168
Other
 
117
Other values (2)
 
163

Length

Max length40
Median length5
Mean length8.8914419
Min length5

Characters and Unicode

Total characters53402
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAsian, South Asian, South East Asian
2nd rowWhite
3rd rowOther
4th rowWhite
5th rowAsian, South Asian, South East Asian

Common Values

ValueCountFrequency (%)
White 5031
83.4%
Multiple ancestries, including white 356
 
5.9%
Asian, South Asian, South East Asian 171
 
2.8%
Hispanic, Latino, or Spanish Origin 168
 
2.8%
Other 117
 
1.9%
Black 106
 
1.8%
Multiple ancestries, not including white 57
 
0.9%
(Missing) 25
 
0.4%

Length

2023-09-16T13:27:54.461417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.515258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
white 5444
61.7%
asian 513
 
5.8%
multiple 413
 
4.7%
ancestries 413
 
4.7%
including 413
 
4.7%
south 342
 
3.9%
east 171
 
1.9%
hispanic 168
 
1.9%
latino 168
 
1.9%
or 168
 
1.9%
Other values (5) 616
 
7.0%

Most occurring characters

ValueCountFrequency (%)
i 8617
16.1%
t 7125
13.3%
e 6800
12.7%
h 6071
11.4%
W 5031
9.4%
2823
 
5.3%
n 2481
 
4.6%
s 1846
 
3.5%
a 1707
 
3.2%
l 1345
 
2.5%
Other values (18) 9556
17.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 42123
78.9%
Uppercase Letter 7365
 
13.8%
Space Separator 2823
 
5.3%
Other Punctuation 1091
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 8617
20.5%
t 7125
16.9%
e 6800
16.1%
h 6071
14.4%
n 2481
 
5.9%
s 1846
 
4.4%
a 1707
 
4.1%
l 1345
 
3.2%
u 1168
 
2.8%
c 1100
 
2.6%
Other values (7) 3863
9.2%
Uppercase Letter
ValueCountFrequency (%)
W 5031
68.3%
A 513
 
7.0%
S 510
 
6.9%
M 413
 
5.6%
O 285
 
3.9%
E 171
 
2.3%
H 168
 
2.3%
L 168
 
2.3%
B 106
 
1.4%
Space Separator
ValueCountFrequency (%)
2823
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1091
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 49488
92.7%
Common 3914
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 8617
17.4%
t 7125
14.4%
e 6800
13.7%
h 6071
12.3%
W 5031
10.2%
n 2481
 
5.0%
s 1846
 
3.7%
a 1707
 
3.4%
l 1345
 
2.7%
u 1168
 
2.4%
Other values (16) 7297
14.7%
Common
ValueCountFrequency (%)
2823
72.1%
, 1091
 
27.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 8617
16.1%
t 7125
13.3%
e 6800
12.7%
h 6071
11.4%
W 5031
9.4%
2823
 
5.3%
n 2481
 
4.6%
s 1846
 
3.5%
a 1707
 
3.2%
l 1345
 
2.5%
Other values (18) 9556
17.9%

Demographics_Gender_Cleaned
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing23
Missing (%)0.4%
Memory size47.2 KiB
Woman
4703 
Man
1205 
Non-binary/Genderqueer/Gender non-conforming
 
100

Length

Max length44
Median length5
Mean length5.2480027
Min length3

Characters and Unicode

Total characters31530
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMan
2nd rowWoman
3rd rowWoman
4th rowWoman
5th rowWoman

Common Values

ValueCountFrequency (%)
Woman 4703
78.0%
Man 1205
 
20.0%
Non-binary/Genderqueer/Gender non-conforming 100
 
1.7%
(Missing) 23
 
0.4%

Length

2023-09-16T13:27:54.572569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.612480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
woman 4703
77.0%
man 1205
 
19.7%
non-binary/genderqueer/gender 100
 
1.6%
non-conforming 100
 
1.6%

Most occurring characters

ValueCountFrequency (%)
n 6708
21.3%
a 6008
19.1%
o 5103
16.2%
m 4803
15.2%
W 4703
14.9%
M 1205
 
3.8%
e 600
 
1.9%
r 500
 
1.6%
G 200
 
0.6%
d 200
 
0.6%
Other values (12) 1500
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24822
78.7%
Uppercase Letter 6208
 
19.7%
Dash Punctuation 200
 
0.6%
Other Punctuation 200
 
0.6%
Space Separator 100
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 6708
27.0%
a 6008
24.2%
o 5103
20.6%
m 4803
19.3%
e 600
 
2.4%
r 500
 
2.0%
d 200
 
0.8%
i 200
 
0.8%
c 100
 
0.4%
u 100
 
0.4%
Other values (5) 500
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
W 4703
75.8%
M 1205
 
19.4%
G 200
 
3.2%
N 100
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 200
100.0%
Space Separator
ValueCountFrequency (%)
100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31030
98.4%
Common 500
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 6708
21.6%
a 6008
19.4%
o 5103
16.4%
m 4803
15.5%
W 4703
15.2%
M 1205
 
3.9%
e 600
 
1.9%
r 500
 
1.6%
G 200
 
0.6%
d 200
 
0.6%
Other values (9) 1000
 
3.2%
Common
ValueCountFrequency (%)
- 200
40.0%
/ 200
40.0%
100
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 6708
21.3%
a 6008
19.1%
o 5103
16.2%
m 4803
15.2%
W 4703
14.9%
M 1205
 
3.8%
e 600
 
1.9%
r 500
 
1.6%
G 200
 
0.6%
d 200
 
0.6%
Other values (12) 1500
 
4.8%

Demographics_Trans_Cleaned
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
5933 
1.0
 
98

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 5933
98.4%
1.0 98
 
1.6%

Length

2023-09-16T13:27:54.658409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.696837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 5933
98.4%
1.0 98
 
1.6%

Most occurring characters

ValueCountFrequency (%)
0 11964
66.1%
. 6031
33.3%
1 98
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11964
99.2%
1 98
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11964
66.1%
. 6031
33.3%
1 98
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11964
66.1%
. 6031
33.3%
1 98
 
0.5%

Demographics_Age_Cleaned
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
40-49
1725 
50-59
1460 
30-39
1352 
60-69
736 
18-29
526 
Other values (2)
232 

Length

Max length5
Median length5
Mean length4.9936992
Min length3

Characters and Unicode

Total characters30117
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30-39
2nd row40-49
3rd row40-49
4th row40-49
5th row40-49

Common Values

ValueCountFrequency (%)
40-49 1725
28.6%
50-59 1460
24.2%
30-39 1352
22.4%
60-69 736
12.2%
18-29 526
 
8.7%
70-79 213
 
3.5%
80+ 19
 
0.3%

Length

2023-09-16T13:27:54.744604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.797925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40-49 1725
28.6%
50-59 1460
24.2%
30-39 1352
22.4%
60-69 736
12.2%
18-29 526
 
8.7%
70-79 213
 
3.5%
80 19
 
0.3%

Most occurring characters

ValueCountFrequency (%)
- 6012
20.0%
9 6012
20.0%
0 5505
18.3%
4 3450
11.5%
5 2920
9.7%
3 2704
9.0%
6 1472
 
4.9%
8 545
 
1.8%
1 526
 
1.7%
2 526
 
1.7%
Other values (2) 445
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24086
80.0%
Dash Punctuation 6012
 
20.0%
Math Symbol 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 6012
25.0%
0 5505
22.9%
4 3450
14.3%
5 2920
12.1%
3 2704
11.2%
6 1472
 
6.1%
8 545
 
2.3%
1 526
 
2.2%
2 526
 
2.2%
7 426
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 6012
100.0%
Math Symbol
ValueCountFrequency (%)
+ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6012
20.0%
9 6012
20.0%
0 5505
18.3%
4 3450
11.5%
5 2920
9.7%
3 2704
9.0%
6 1472
 
4.9%
8 545
 
1.8%
1 526
 
1.7%
2 526
 
1.7%
Other values (2) 445
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6012
20.0%
9 6012
20.0%
0 5505
18.3%
4 3450
11.5%
5 2920
9.7%
3 2704
9.0%
6 1472
 
4.9%
8 545
 
1.8%
1 526
 
1.7%
2 526
 
1.7%
Other values (2) 445
 
1.5%

Flag_MECFS
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
0.0
3216 
1.0
2815 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18093
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3216
53.3%
1.0 2815
46.7%

Length

2023-09-16T13:27:54.852546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.894121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3216
53.3%
1.0 2815
46.7%

Most occurring characters

ValueCountFrequency (%)
0 9247
51.1%
. 6031
33.3%
1 2815
 
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12062
66.7%
Other Punctuation 6031
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9247
76.7%
1 2815
 
23.3%
Other Punctuation
ValueCountFrequency (%)
. 6031
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18093
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9247
51.1%
. 6031
33.3%
1 2815
 
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18093
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9247
51.1%
. 6031
33.3%
1 2815
 
15.6%

Flag_POTS
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
No, no tachycardia
2459 
Possible, had tachycardia/palpitations
1773 
Likely, had higher bpm standing
901 
Definite, measured bpm > 30
898 

Length

Max length38
Median length31
Mean length27.161831
Min length18

Characters and Unicode

Total characters163813
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo, no tachycardia
2nd rowNo, no tachycardia
3rd rowPossible, had tachycardia/palpitations
4th rowDefinite, measured bpm > 30
5th rowPossible, had tachycardia/palpitations

Common Values

ValueCountFrequency (%)
No, no tachycardia 2459
40.8%
Possible, had tachycardia/palpitations 1773
29.4%
Likely, had higher bpm standing 901
 
14.9%
Definite, measured bpm > 30 898
 
14.9%

Length

2023-09-16T13:27:54.945810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:54.998265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
no 4918
22.7%
had 2674
12.3%
tachycardia 2459
11.3%
bpm 1799
 
8.3%
possible 1773
 
8.2%
tachycardia/palpitations 1773
 
8.2%
likely 901
 
4.2%
higher 901
 
4.2%
standing 901
 
4.2%
definite 898
 
4.1%
Other values (3) 2694
12.4%

Most occurring characters

ValueCountFrequency (%)
a 20715
 
12.6%
15660
 
9.6%
i 14050
 
8.6%
t 9577
 
5.8%
h 8708
 
5.3%
d 8705
 
5.3%
c 8464
 
5.2%
o 8464
 
5.2%
e 7167
 
4.4%
s 7118
 
4.3%
Other values (20) 55185
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 131624
80.4%
Space Separator 15660
 
9.6%
Other Punctuation 7804
 
4.8%
Uppercase Letter 6031
 
3.7%
Decimal Number 1796
 
1.1%
Math Symbol 898
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 20715
15.7%
i 14050
10.7%
t 9577
 
7.3%
h 8708
 
6.6%
d 8705
 
6.6%
c 8464
 
6.4%
o 8464
 
6.4%
e 7167
 
5.4%
s 7118
 
5.4%
n 6932
 
5.3%
Other values (10) 31724
24.1%
Uppercase Letter
ValueCountFrequency (%)
N 2459
40.8%
P 1773
29.4%
L 901
 
14.9%
D 898
 
14.9%
Other Punctuation
ValueCountFrequency (%)
, 6031
77.3%
/ 1773
 
22.7%
Decimal Number
ValueCountFrequency (%)
3 898
50.0%
0 898
50.0%
Space Separator
ValueCountFrequency (%)
15660
100.0%
Math Symbol
ValueCountFrequency (%)
> 898
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 137655
84.0%
Common 26158
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 20715
15.0%
i 14050
 
10.2%
t 9577
 
7.0%
h 8708
 
6.3%
d 8705
 
6.3%
c 8464
 
6.1%
o 8464
 
6.1%
e 7167
 
5.2%
s 7118
 
5.2%
n 6932
 
5.0%
Other values (14) 37755
27.4%
Common
ValueCountFrequency (%)
15660
59.9%
, 6031
 
23.1%
/ 1773
 
6.8%
> 898
 
3.4%
3 898
 
3.4%
0 898
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 163813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 20715
 
12.6%
15660
 
9.6%
i 14050
 
8.6%
t 9577
 
5.8%
h 8708
 
5.3%
d 8705
 
5.3%
c 8464
 
5.2%
o 8464
 
5.2%
e 7167
 
4.4%
s 7118
 
4.3%
Other values (20) 55185
33.7%

Flag_MCAS
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83037639
Minimum0
Maximum6
Zeros3138
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size47.2 KiB
2023-09-16T13:27:55.047778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1296894
Coefficient of variation (CV)1.3604546
Kurtosis2.8340041
Mean0.83037639
Median Absolute Deviation (MAD)0
Skewness1.6473447
Sum5008
Variance1.2761982
MonotonicityNot monotonic
2023-09-16T13:27:55.093730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3138
52.0%
1 1642
27.2%
2 705
 
11.7%
3 333
 
5.5%
4 129
 
2.1%
5 63
 
1.0%
6 21
 
0.3%
ValueCountFrequency (%)
0 3138
52.0%
1 1642
27.2%
2 705
 
11.7%
3 333
 
5.5%
4 129
 
2.1%
5 63
 
1.0%
6 21
 
0.3%
ValueCountFrequency (%)
6 21
 
0.3%
5 63
 
1.0%
4 129
 
2.1%
3 333
 
5.5%
2 705
 
11.7%
1 1642
27.2%
0 3138
52.0%

FAS
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.152711
Minimum9
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.2 KiB
2023-09-16T13:27:55.144325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile16
Q121
median27
Q333
95-th percentile39
Maximum45
Range36
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.2843952
Coefficient of variation (CV)0.26827506
Kurtosis-0.77830897
Mean27.152711
Median Absolute Deviation (MAD)6
Skewness0.012908383
Sum163758
Variance53.062413
MonotonicityNot monotonic
2023-09-16T13:27:55.203314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
27 297
 
4.9%
28 295
 
4.9%
22 280
 
4.6%
29 277
 
4.6%
20 274
 
4.5%
30 274
 
4.5%
25 261
 
4.3%
34 252
 
4.2%
19 250
 
4.1%
31 250
 
4.1%
Other values (27) 3321
55.1%
ValueCountFrequency (%)
9 27
 
0.4%
10 6
 
0.1%
11 7
 
0.1%
12 16
 
0.3%
13 52
 
0.9%
14 60
 
1.0%
15 96
1.6%
16 140
2.3%
17 177
2.9%
18 205
3.4%
ValueCountFrequency (%)
45 16
 
0.3%
44 8
 
0.1%
43 9
 
0.1%
42 24
 
0.4%
41 95
1.6%
40 84
1.4%
39 129
2.1%
38 136
2.3%
37 181
3.0%
36 195
3.2%

FAS_cat
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.2 KiB
Fatigue
3374 
Minimal/No Fatigue
1554 
Substantial Fatigue
1103 

Length

Max length19
Median length7
Mean length12.029017
Min length7

Characters and Unicode

Total characters72547
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMinimal/No Fatigue
2nd rowFatigue
3rd rowMinimal/No Fatigue
4th rowMinimal/No Fatigue
5th rowMinimal/No Fatigue

Common Values

ValueCountFrequency (%)
Fatigue 3374
55.9%
Minimal/No Fatigue 1554
25.8%
Substantial Fatigue 1103
 
18.3%

Length

2023-09-16T13:27:55.261393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:55.304483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
fatigue 6031
69.4%
minimal/no 1554
 
17.9%
substantial 1103
 
12.7%

Most occurring characters

ValueCountFrequency (%)
i 10242
14.1%
a 9791
13.5%
t 8237
11.4%
u 7134
9.8%
F 6031
8.3%
g 6031
8.3%
e 6031
8.3%
2657
 
3.7%
n 2657
 
3.7%
l 2657
 
3.7%
Other values (8) 11079
15.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 58094
80.1%
Uppercase Letter 10242
 
14.1%
Space Separator 2657
 
3.7%
Other Punctuation 1554
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 10242
17.6%
a 9791
16.9%
t 8237
14.2%
u 7134
12.3%
g 6031
10.4%
e 6031
10.4%
n 2657
 
4.6%
l 2657
 
4.6%
o 1554
 
2.7%
m 1554
 
2.7%
Other values (2) 2206
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
F 6031
58.9%
N 1554
 
15.2%
M 1554
 
15.2%
S 1103
 
10.8%
Space Separator
ValueCountFrequency (%)
2657
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1554
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 68336
94.2%
Common 4211
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 10242
15.0%
a 9791
14.3%
t 8237
12.1%
u 7134
10.4%
F 6031
8.8%
g 6031
8.8%
e 6031
8.8%
n 2657
 
3.9%
l 2657
 
3.9%
N 1554
 
2.3%
Other values (6) 7971
11.7%
Common
ValueCountFrequency (%)
2657
63.1%
/ 1554
36.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 10242
14.1%
a 9791
13.5%
t 8237
11.4%
u 7134
9.8%
F 6031
8.3%
g 6031
8.3%
e 6031
8.3%
2657
 
3.7%
n 2657
 
3.7%
l 2657
 
3.7%
Other values (8) 11079
15.3%

Physical_PEM_Severity
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)0.2%
Missing702
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean7.6978795
Minimum0
Maximum10
Zeros58
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size47.2 KiB
2023-09-16T13:27:55.347998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median8
Q39
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1446204
Coefficient of variation (CV)0.27859886
Kurtosis1.1526325
Mean7.6978795
Median Absolute Deviation (MAD)1
Skewness-1.1171908
Sum41022
Variance4.5993968
MonotonicityNot monotonic
2023-09-16T13:27:55.395277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10 1270
21.1%
8 1167
19.4%
9 930
15.4%
7 691
11.5%
5 415
 
6.9%
6 404
 
6.7%
4 204
 
3.4%
3 108
 
1.8%
0 58
 
1.0%
2 58
 
1.0%
(Missing) 702
11.6%
ValueCountFrequency (%)
0 58
 
1.0%
1 24
 
0.4%
2 58
 
1.0%
3 108
 
1.8%
4 204
 
3.4%
5 415
 
6.9%
6 404
 
6.7%
7 691
11.5%
8 1167
19.4%
9 930
15.4%
ValueCountFrequency (%)
10 1270
21.1%
9 930
15.4%
8 1167
19.4%
7 691
11.5%
6 404
 
6.7%
5 415
 
6.9%
4 204
 
3.4%
3 108
 
1.8%
2 58
 
1.0%
1 24
 
0.4%

Cognitive_PEM_Severity
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct11
Distinct (%)0.2%
Missing702
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean5.6419591
Minimum0
Maximum10
Zeros610
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size47.2 KiB
2023-09-16T13:27:55.444221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0861278
Coefficient of variation (CV)0.54699578
Kurtosis-0.8493779
Mean5.6419591
Median Absolute Deviation (MAD)2
Skewness-0.47038596
Sum30066
Variance9.5241851
MonotonicityNot monotonic
2023-09-16T13:27:55.493739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8 772
12.8%
7 724
12.0%
0 610
10.1%
5 603
10.0%
6 565
9.4%
10 520
8.6%
9 479
7.9%
4 346
5.7%
3 298
 
4.9%
2 216
 
3.6%
(Missing) 702
11.6%
ValueCountFrequency (%)
0 610
10.1%
1 196
 
3.2%
2 216
 
3.6%
3 298
 
4.9%
4 346
5.7%
5 603
10.0%
6 565
9.4%
7 724
12.0%
8 772
12.8%
9 479
7.9%
ValueCountFrequency (%)
10 520
8.6%
9 479
7.9%
8 772
12.8%
7 724
12.0%
6 565
9.4%
5 603
10.0%
4 346
5.7%
3 298
 
4.9%
2 216
 
3.6%
1 196
 
3.2%

HasPeriods
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing1344
Missing (%)22.3%
Memory size47.2 KiB
Yes
2675 
No, post-menopausal
1401 
No, other reason
611 

Length

Max length19
Median length3
Mean length9.4772776
Min length3

Characters and Unicode

Total characters44420
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo, other reason
2nd rowNo, other reason
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes 2675
44.4%
No, post-menopausal 1401
23.2%
No, other reason 611
 
10.1%
(Missing) 1344
22.3%

Length

2023-09-16T13:27:55.551336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-16T13:27:55.603427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
yes 2675
36.6%
no 2012
27.5%
post-menopausal 1401
19.2%
other 611
 
8.4%
reason 611
 
8.4%

Most occurring characters

ValueCountFrequency (%)
s 6088
13.7%
o 6036
13.6%
e 5298
11.9%
a 3413
 
7.7%
p 2802
 
6.3%
Y 2675
 
6.0%
2623
 
5.9%
n 2012
 
4.5%
t 2012
 
4.5%
, 2012
 
4.5%
Other values (7) 9449
21.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33697
75.9%
Uppercase Letter 4687
 
10.6%
Space Separator 2623
 
5.9%
Other Punctuation 2012
 
4.5%
Dash Punctuation 1401
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 6088
18.1%
o 6036
17.9%
e 5298
15.7%
a 3413
10.1%
p 2802
8.3%
n 2012
 
6.0%
t 2012
 
6.0%
m 1401
 
4.2%
u 1401
 
4.2%
l 1401
 
4.2%
Other values (2) 1833
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
Y 2675
57.1%
N 2012
42.9%
Space Separator
ValueCountFrequency (%)
2623
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2012
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1401
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38384
86.4%
Common 6036
 
13.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 6088
15.9%
o 6036
15.7%
e 5298
13.8%
a 3413
8.9%
p 2802
7.3%
Y 2675
7.0%
n 2012
 
5.2%
t 2012
 
5.2%
N 2012
 
5.2%
m 1401
 
3.6%
Other values (4) 4635
12.1%
Common
ValueCountFrequency (%)
2623
43.5%
, 2012
33.3%
- 1401
23.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 6088
13.7%
o 6036
13.6%
e 5298
11.9%
a 3413
 
7.7%
p 2802
 
6.3%
Y 2675
 
6.0%
2623
 
5.9%
n 2012
 
4.5%
t 2012
 
4.5%
, 2012
 
4.5%
Other values (7) 9449
21.3%

Interactions

2023-09-16T13:27:38.661993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.032419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.315531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.491169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.704726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.178837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.358804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.533754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.748683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.226382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.404893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.577695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.789781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.270818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.447820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-16T13:27:38.619233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-09-16T13:27:55.741030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Flag_MCASFASPhysical_PEM_SeverityCognitive_PEM_SeveritySymptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Inability_to_yawnSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_Extreme_thirstSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_medsSymptom_New_allergiesDemographics_Ancestry_CleanedDemographics_Gender_CleanedDemographics_Trans_CleanedDemographics_Age_CleanedFlag_MECFSFlag_POTSFAS_catHasPeriods
Flag_MCAS1.0000.1450.1190.1550.0000.1500.1380.1730.0610.1310.1610.1590.1060.1020.1490.1310.0660.2120.1960.2050.1970.1710.1450.1880.0900.0530.1550.1910.1680.1110.0980.1520.1630.1600.0890.1450.0400.0240.1240.1650.1120.1520.1820.1310.2000.2200.1680.1990.1820.1470.1560.1410.1020.1450.1510.1390.1050.1400.1620.1700.1300.0600.2860.2040.1530.2190.1920.2200.1610.1640.1500.0920.1140.1500.2450.1680.1630.0990.2160.2230.1700.1590.1590.2580.1550.2010.2560.1600.5510.2380.2090.2190.1770.1480.2160.1710.2040.0840.1110.0970.1270.1480.1800.1390.1790.1530.1630.0350.1590.1990.2490.1880.1970.2370.3000.1820.4940.6590.0770.2470.1580.2090.2130.1260.2280.1930.2210.2420.2190.2070.1660.1660.2390.2590.2180.2130.2110.2070.1520.0800.1630.1850.1780.1810.1550.0550.1360.0690.1550.0460.1820.0890.1350.1640.2610.2070.3940.2940.5960.2150.1980.0840.1120.0330.6070.6630.0290.0720.0510.0250.0580.1070.0970.020
FAS0.1451.0000.3400.4560.0280.3050.2110.2110.0630.3980.3710.3640.2580.1620.1990.3530.0180.2950.2700.2810.3030.2470.1870.2310.0950.0430.1550.1880.2270.1570.1260.1540.2720.1820.0400.1100.0530.0760.1170.1310.0930.1100.0560.0600.1340.1700.2150.1910.1400.1490.1770.1650.1230.1060.1700.2090.1170.1710.1320.1280.0950.0120.1560.1540.1120.1570.1390.1380.2560.0730.0830.0430.0560.1280.1820.1020.1550.1490.1130.1790.1750.0820.1460.0640.1360.2280.1730.1700.0410.2010.1960.1300.1140.1500.1930.1270.0990.1380.0870.0550.1900.1310.1110.1060.1080.1460.1150.0190.1040.1370.1910.0840.1670.1080.1030.0930.1170.0890.0360.1860.2270.2150.1930.0400.1510.1250.1570.2200.1190.0900.0930.0770.2280.2350.1540.1520.1470.1320.1060.0640.0280.0680.0920.1490.0580.0400.0930.0100.1560.0200.1270.0000.0930.1470.1680.1140.1700.1550.0740.1520.0430.0310.2940.3530.0900.0480.0300.0820.0650.0340.1890.1070.9360.045
Physical_PEM_Severity0.1190.3401.0000.3740.0340.1360.0970.1140.0280.1640.1530.1780.1310.0630.1320.1270.0100.1510.1630.1720.1670.1610.1050.1480.0230.0390.0780.1040.1240.0920.0650.0790.1740.1170.0260.0540.0000.0060.0780.1240.0720.0710.0630.0000.1130.1390.1130.1130.1230.0910.0730.0840.0620.0490.0770.1090.0630.0810.0710.0810.0490.0000.1010.1040.0610.1220.1200.1060.1950.0430.0550.0300.0480.1100.1400.0820.1230.0750.1100.1480.1770.0910.1240.0740.0920.1500.1340.1740.0500.1300.1200.0830.0720.0750.1360.0600.0640.0620.0510.0000.1940.1400.0510.0410.1540.0830.0890.0310.0580.0940.1320.0840.0800.0550.0720.0590.0710.0950.0490.1440.1780.1510.1410.0000.0880.1100.1310.1490.0970.0890.0550.0550.1530.1550.0850.1170.0950.0910.0260.0260.0340.0510.0860.0790.0530.0170.0580.0150.0640.0000.0680.0340.0700.1020.1130.0720.1140.1120.0650.0650.0230.0191.0000.1170.0580.0480.0190.0640.0000.0510.1200.1110.2250.055
Cognitive_PEM_Severity0.1550.4560.3741.0000.0430.3280.2300.2500.0650.4120.3990.3960.2780.1910.2190.3710.0540.3190.3260.3430.3430.2990.1950.2710.1070.0750.1520.2070.2530.1540.1200.1570.3460.1750.0430.1340.0560.0740.1230.1350.1000.1220.0910.0710.1440.1620.1540.1640.0990.1520.1470.1350.1280.0660.1060.1670.0880.1330.1220.1470.0830.0230.1550.1400.1280.1420.1250.1520.1850.0980.0930.0770.0630.1200.1620.0820.1310.0950.0940.1530.1280.0670.1070.0990.1240.2140.1530.0840.0700.2460.2390.1310.0710.0840.1530.0830.0640.0580.0370.0190.0780.0710.0860.0730.0810.0730.0800.0000.1300.1630.2230.0870.1280.1010.0970.0850.0830.0980.0000.1700.1650.1710.1910.0230.1180.1230.1440.2690.1400.0990.1160.1090.2400.2630.1380.1750.1540.1410.1280.0660.0580.0840.0950.1590.0800.0450.0800.0000.1360.0330.1120.0580.0690.1070.1380.1020.1500.1340.0870.1240.0360.0211.0000.1260.0950.0900.0240.0590.0090.0490.1680.0740.3110.024
Symptom_Memory_short0.0000.0280.0340.0431.0000.1040.0000.0250.2440.0350.0420.0490.0280.0190.0490.0290.0000.0000.0350.0430.0460.0480.0240.0310.0210.0000.0140.0270.0380.0100.0130.0360.0450.0140.0000.0070.0000.0130.0340.0430.0290.0180.0290.0160.0150.0000.0000.0070.0350.0440.0400.0530.0470.0120.0230.0300.0180.0160.0180.0000.0200.0000.0110.0370.0000.0190.0330.0390.0000.0000.0200.0130.0000.0200.0300.0060.0000.0140.0020.0330.0240.0290.0160.0230.0250.0230.0260.0140.0000.0370.0290.0040.0190.0230.0130.0000.0210.0000.0020.0000.0240.0390.0350.0240.0210.0160.0150.0000.0350.0160.0000.0110.0000.0380.0000.0000.0000.0170.0000.0380.0440.0330.0230.0000.0190.0000.0070.0130.0160.0000.0000.0000.0110.0240.0100.0330.0280.0370.0260.0000.0000.0100.0000.0120.0110.0080.0290.0100.0000.0000.0000.0000.0110.0180.0310.0370.0340.0050.0000.0080.0000.0000.0000.0170.0000.0070.0130.0000.0000.0390.0000.0320.0300.034
Symptom_Memory_long0.1500.3050.1360.3280.1041.0000.2550.2440.0370.3710.3770.3750.2850.1630.2260.3070.0600.3720.3450.3380.3610.2960.2060.2770.1310.0760.1090.1520.1660.1210.1050.1120.2030.1230.0730.1060.0980.0990.1460.1640.1210.1130.0770.0890.1180.1320.1390.1570.0960.1470.1320.1130.1160.0830.1460.1400.1070.1500.1300.1400.1020.0360.1500.1360.0870.1420.1130.1320.1650.0660.0590.0580.0450.1060.1520.1090.0860.0990.0960.1420.1040.0720.1150.0690.1050.1960.1400.0960.0340.2400.2010.1150.0780.0810.1360.0890.0770.0990.0820.0460.1030.0620.1300.1090.0550.1100.0750.0000.1140.1330.2060.0770.1480.0860.1130.0890.1000.0940.0650.1520.1370.1600.1570.0200.1110.0850.1250.2230.1130.0860.1040.0990.2210.2200.1320.1390.1460.1350.0970.0650.0550.1070.0700.1800.1050.0370.0540.0300.1100.0140.1160.0330.0630.1000.1130.1050.1650.1600.0660.1150.0560.0390.1410.0890.1050.0760.0340.0860.0340.0190.0900.1100.2650.043
Symptom_Memory_no_new_memories0.1380.2110.0970.2300.0000.2551.0000.2320.0400.1830.2010.2000.1660.1360.2190.1330.0200.1820.2180.2320.2420.2140.1630.2090.1380.0470.0480.0890.1350.0830.0530.0850.1320.0740.0560.1110.0440.0360.0800.0860.0810.0900.0500.0640.0680.1030.0720.0900.0630.0920.1020.0800.0830.0690.0750.0700.0880.0670.1010.1130.1020.0250.0800.0970.0900.0820.0820.1090.1010.0590.0580.0490.0500.0380.0920.0660.0490.0490.0750.0590.0570.0500.0530.0740.0730.0710.0980.0460.0710.1920.1620.0610.0260.0470.0640.0670.0460.0490.0660.0680.0190.0220.0590.0510.0470.0970.0360.0070.1090.0810.1500.0620.1150.0910.0680.0590.0740.0650.0430.1110.0570.0850.0980.0500.1050.0680.0860.1310.0670.0620.1000.0710.1560.1670.0690.0950.0920.1200.1560.0750.0430.0710.0660.1220.0610.0390.0470.0490.0970.0060.0730.0130.0810.0670.0740.0890.0760.1100.0580.1040.0130.0260.0510.0230.0900.0870.0360.0270.0190.0440.0000.0630.1900.000
Symptom_Memory_forget_tasks0.1730.2110.1140.2500.0250.2440.2321.0000.0590.2040.2450.2360.1830.1280.2800.1440.0480.2470.2620.2750.2800.2810.2260.2760.1060.0520.0880.1230.1440.0760.0720.1270.1610.1200.0530.1010.0670.0780.1160.1500.1240.1460.1040.0960.1140.1230.0810.1280.1220.1070.1230.1020.1080.0930.1010.0840.0600.0800.1810.1630.1230.0530.1440.1320.0940.1220.0880.1360.1180.0940.0600.0540.0580.1130.1310.0730.0930.0820.1220.1170.1040.0970.0760.1050.1210.1370.1350.0910.0740.2520.2170.1010.0630.0880.1010.0680.0740.0520.0730.0700.0670.0590.0720.0640.0680.0860.0550.0000.1290.1120.1480.0730.1280.0900.1070.0930.0780.1000.0610.1370.0750.1260.1370.0260.1020.0850.1180.1850.1160.0740.1220.0860.1670.1910.1090.1130.1150.1440.1140.0590.0380.0720.0720.1550.0690.0600.0440.0230.1030.0000.0920.0270.0730.0910.1070.0970.1370.1360.1050.1370.0410.0570.0940.0370.1080.0960.0120.0360.0080.0220.0130.1100.1970.033
Symptom_Memory_other0.0610.0630.0280.0650.2440.0370.0400.0591.0000.0740.0750.0560.0550.0270.0750.0850.1940.1730.1110.1070.1200.1030.0600.1190.0660.1050.0200.0360.0280.0250.0000.0080.0360.0000.1370.0120.0160.0140.0450.0160.0420.0130.0310.0000.0470.0450.0000.0180.0290.0110.0180.0210.0230.0280.0960.0310.0320.0180.0190.0420.0290.0580.0270.0330.0370.0330.0170.0490.0280.0300.0000.0220.0240.0050.0190.0880.0420.0400.0670.0420.0250.0340.0390.0250.0340.0530.0400.0510.0100.0530.0550.0240.0490.0380.0400.0400.0440.0360.0370.0250.0360.0030.0440.0410.0250.0380.0270.0960.0290.0310.0580.0270.0750.0350.0380.0380.0400.0480.0700.0430.0110.0420.0240.0000.0310.0330.0250.0170.0330.0460.0000.0880.0610.0420.0540.0470.0380.0330.0000.0170.0370.0300.0490.0410.1120.0000.0130.0000.0000.0000.0760.0360.0000.0140.0360.0000.0360.0380.0230.0430.0440.0180.0320.0270.0510.0000.0460.0330.0000.0570.0270.0310.0450.031
Symptom_Cognitive_Functioning_thinking0.1310.3980.1640.4120.0350.3710.1830.2040.0741.0000.4930.5120.3510.1790.1690.5140.0220.3440.3250.3080.3290.2820.1640.2390.1060.0450.1680.1960.2270.1560.1360.1360.2450.1470.0520.1130.0630.0710.0870.1140.0830.0730.0780.0670.1240.1320.1470.1580.1470.1550.1510.1280.1320.0700.1680.1730.1100.1410.1150.1100.0700.0260.1510.1460.0910.1250.1340.1290.1720.0740.0720.0450.0400.1030.1610.1070.1280.1120.0980.1640.1320.0810.1500.0700.1020.2520.1440.1370.0470.2160.1990.1070.0960.0860.1640.1060.0700.1050.0700.0440.1420.1210.1040.0900.0870.0980.0960.0000.0830.1350.1960.1010.1050.0890.0880.0680.0860.0940.0350.1650.1870.1740.1430.0120.1320.1100.1630.2170.1190.0950.0820.0690.2070.2290.1300.1520.1320.1210.0880.0410.0500.0950.0820.1510.0740.0320.0820.0070.1110.0040.0820.0520.0800.0980.1200.0690.1260.1160.0570.0940.0220.0160.2090.1660.0640.0570.0610.0840.0430.1100.2150.1360.3540.065
Symptom_Cognitive_Functioning_executive0.1610.3710.1530.3990.0420.3770.2010.2450.0750.4931.0000.5840.2890.1830.1760.4470.0290.3460.3300.3370.3440.2930.1710.2660.1220.0440.1610.1720.2120.1580.1270.1380.2470.1420.0840.0890.0610.0680.1080.1230.1000.0910.0740.0730.1310.1200.1520.1540.1240.1700.1570.1390.1040.0810.1680.1460.1150.1490.1160.1230.0890.0340.1570.1310.0740.1210.1250.1340.1740.0600.0540.0530.0300.1190.1760.1150.1210.0980.0840.1510.1370.0870.1340.0910.1190.2220.1410.1320.0500.2500.2040.1120.0890.0810.1550.1190.0710.0930.0740.0560.1410.1020.0950.0820.0840.1030.0920.0000.0810.1370.1840.0720.1140.0780.0860.0820.0770.1170.0520.1420.1660.1670.1260.0280.1240.0880.1400.2330.0990.0890.0830.0590.1980.2370.1140.1380.1450.1040.0930.0400.0590.0750.0560.1470.0810.0230.0800.0000.1110.0150.0900.0550.0380.0980.1240.0900.1390.1190.0770.0900.0290.0000.2010.1360.1000.0750.0560.0940.0650.1060.1850.1440.3300.046
Symptom_Cognitive_Functioning_problemsolving0.1590.3640.1780.3960.0490.3750.2000.2360.0560.5120.5841.0000.2980.1900.1730.4350.0230.3230.3310.3290.3480.2920.1720.2670.1260.0470.1570.1900.2080.1370.1150.1390.2520.1360.0670.1100.0560.0660.1150.1200.1000.0960.0760.0760.1230.1350.1440.1460.1330.1650.1410.1250.1320.0770.1620.1420.1050.1420.1090.1160.0830.0330.1500.1440.0780.1420.1230.1180.1750.0730.0690.0570.0380.1130.1730.1230.1160.0950.1050.1540.1240.1030.1340.0830.1160.2200.1360.1320.0430.2440.2100.1250.1040.0710.1580.1150.0890.0940.0780.0480.1290.1040.1100.1130.1000.1170.0940.0130.0970.1540.1950.0840.1260.0870.0910.0910.0720.0940.0470.1490.1480.1500.1260.0260.1300.1020.1400.2330.1060.0970.0880.0660.2060.2430.1260.1480.1500.1220.0950.0430.0670.1010.1090.1530.0940.0000.0870.0150.1290.0330.0950.0490.0750.1020.1220.1030.1350.1350.0820.0880.0000.0000.1840.1250.1070.0700.0770.0650.0460.0760.1560.1350.3200.016
Symptom_Cognitive_Functioning_slowedthoughts0.1060.2580.1310.2780.0280.2850.1660.1830.0550.3510.2890.2981.0000.0420.1490.3150.0460.2900.2900.2630.2780.2700.1560.2080.1000.0520.0930.1230.1810.1280.0910.1090.2040.1080.0540.1050.0470.0590.0960.0860.0580.0780.0910.0670.1180.1170.1010.1040.0890.1250.1170.0880.0750.0560.1200.1150.0970.1040.0990.0860.0850.0200.1170.1320.0800.1260.1120.1340.1450.0810.0630.0600.0370.0960.1350.0830.1170.0750.0970.1390.1140.0690.1020.0750.0990.1680.1350.0900.0390.2070.2070.0840.0720.0780.1270.0910.0550.0790.0680.0420.0940.0900.0800.0790.0790.0730.0670.0000.0650.1150.1550.0830.0940.0600.0730.0820.0730.0690.0210.1500.1280.1250.1220.0410.0800.0580.1040.1680.1020.0880.0840.0690.1450.1710.1000.1370.0930.0990.1110.0320.0410.0830.0780.1240.0710.0450.0740.0190.0990.0000.0830.0390.0690.1070.1080.1060.1060.1000.0480.0850.0000.0420.1320.0880.0720.0510.0410.0550.0410.0830.1030.1200.2270.046
Symptom_Cognitive_Functioning_fastthoughts0.1020.1620.0630.1910.0190.1630.1360.1280.0270.1790.1830.1900.0421.0000.1490.1690.0000.1390.1370.1490.1740.1530.1210.1340.0320.0130.1030.1310.1050.0620.0850.0880.1470.1060.0200.1040.0690.0800.0800.1000.0920.1120.0800.0780.0920.0820.1040.1300.1080.1220.1180.1270.1260.0490.0820.1330.0890.1140.1070.1170.0770.0000.1270.0890.0770.0860.0900.0950.0900.0400.0590.0610.0400.0840.1120.0420.0670.0670.0450.1060.0780.0420.0830.0430.0430.1080.0830.0600.0310.1550.1440.0910.0580.0540.0940.0750.0680.0330.0660.0220.0600.0480.1140.0950.0410.0760.0640.0150.0600.0660.1090.0810.0900.0690.0800.0450.0770.0690.0000.1140.0930.1030.1210.0390.0970.0460.1050.1140.0860.0790.0860.0400.1210.1460.0980.1190.1010.0720.0660.0520.0110.0820.0520.1120.0570.0510.0730.0150.0980.0150.0830.0350.0760.0930.0950.0970.1320.1090.0500.0820.0260.0000.0480.0440.0440.0630.0320.0430.0000.0580.0650.0760.1490.029
Symptom_Cognitive_Functioning_agnosia0.1490.1990.1320.2190.0490.2260.2190.2800.0750.1690.1760.1730.1490.1491.0000.1280.0290.2450.2600.2430.2810.2660.2290.2240.0670.0300.0790.1170.1070.0770.0460.0910.1380.1130.0390.0920.0780.0790.1130.1550.1160.1510.1020.1180.1120.1330.0750.1000.1170.1240.1230.1170.1230.0660.0790.1090.0740.0660.1590.1840.1280.0220.1250.1100.0960.1280.1050.1340.1170.0650.0840.0270.0640.0690.1410.0720.0770.0750.0990.0970.0940.0890.0910.0790.1000.1320.1420.0880.0710.2270.2320.0810.0750.0810.0920.0960.0690.0700.0670.0490.0580.0690.0700.0730.0770.1320.0580.0000.1020.1160.1400.0780.1020.0830.0770.0840.0990.0960.0000.1760.1100.1360.1750.0070.1120.0890.0960.1600.1010.0910.1160.0780.1570.1840.0980.1160.1310.1250.1430.0660.0320.0560.0630.1910.0400.0410.0400.0140.0980.0110.0760.0060.0820.0810.0880.0880.1330.1210.0710.1170.0190.0580.0850.0350.0830.0740.0450.0550.0000.0430.0000.0970.1810.035
Symptom_Cognitive_Functioning_attentionconcentration0.1310.3530.1270.3710.0290.3070.1330.1440.0850.5140.4470.4350.3150.1690.1281.0000.0270.3010.2430.2740.2590.2210.1240.2000.0850.0350.1480.1890.2010.1470.1160.1250.2210.1300.0250.1040.0660.0770.1050.1040.0750.0660.0650.0550.0950.0980.1830.1510.1340.1550.1380.1300.0990.0690.1590.1400.0980.1580.0820.0680.0600.0200.1300.1260.0670.1310.1270.1040.1590.0550.0520.0500.0440.1000.1450.0980.1320.1020.0840.1460.1390.0720.1570.0790.0900.2240.1230.1250.0260.1830.1650.0930.1040.0840.1590.1150.0860.0870.0610.0170.1360.1300.0950.0770.0980.0890.1160.0000.0530.1350.1670.0830.1030.0860.0810.0440.0670.0850.0320.1260.1650.1550.1090.0320.1150.0990.1540.1950.1070.0850.0680.0730.1730.2100.1280.1410.1170.0920.0760.0270.0520.1040.0760.1240.0740.0240.0770.0000.1000.0000.0890.0380.0770.0920.1370.0850.1220.1100.0800.0830.0300.0000.2150.1750.0820.0610.0720.0860.0300.0930.3000.1450.3160.011
Symptom_Cognitive_Functioning_other0.0660.0180.0100.0540.0000.0600.0200.0480.1940.0220.0290.0230.0460.0000.0290.0271.0000.1390.1160.1040.0990.0850.0650.0960.0790.1290.0330.0340.0460.0260.0160.0340.0400.0360.1110.0000.0000.0000.0430.0360.0300.0320.0350.0330.0380.0340.0330.0180.0180.0120.0330.0430.0080.0240.1150.0420.0180.0000.0310.0060.0220.0860.0500.0320.0310.0390.0320.0370.0000.0000.0000.0240.0000.0170.0360.0820.0290.0420.0680.0530.0370.0220.0480.0340.0320.0520.0250.0230.0000.0520.0530.0280.0170.0170.0480.0560.0230.0260.0080.0490.0350.0320.0300.0320.0170.0490.0350.1050.0140.0380.0510.0380.0540.0300.0460.0300.0090.0480.0770.0520.0200.0340.0350.0200.0430.0270.0290.0480.0300.0190.0000.0600.0410.0460.0410.0480.0290.0390.0040.0000.0360.0210.0330.0350.0890.0060.0210.0000.0000.0000.0690.0710.0130.0000.0220.0000.0510.0440.0240.0570.0810.0180.0320.0120.0500.0140.0200.0450.0000.0150.0560.0360.0220.000
Symptom_Speech_difficulty_finding_words0.2120.2950.1510.3190.0000.3720.1820.2470.1730.3440.3460.3230.2900.1390.2450.3010.1391.0000.6450.5780.5800.5470.3170.4450.2280.1270.1300.1710.1930.1370.0900.1340.2040.1320.0770.0960.0840.0710.1200.1570.1000.0880.1080.0840.1500.1640.1410.1520.1150.1560.1510.1380.1040.0880.1850.1620.1040.1350.1540.1410.0950.0400.1890.1640.1150.1730.1600.1750.1740.1070.0980.0610.0550.1090.1960.1430.1410.1160.1520.1870.1560.1210.1600.1430.1070.2390.1950.1330.0790.2390.3330.1330.1120.0930.1710.1110.1070.1160.0970.0580.1530.1020.1290.1010.1090.1140.1390.0170.1190.1740.2480.1200.1610.1230.1320.1150.1060.1570.0740.1960.1870.2000.1580.0680.1500.1510.1570.2400.1560.1210.0920.1280.2610.2650.1630.1810.1770.1470.1000.0490.0830.1030.0770.1790.1400.0280.0950.0190.1210.0360.1280.0570.0860.1220.1610.0970.1870.1710.1090.1270.0680.0540.1750.0890.1220.1050.0660.1230.0130.0800.1040.1690.2590.025
Symptom_Speech_difficulty_communicating_verbally0.1960.2700.1630.3260.0350.3450.2180.2620.1110.3250.3300.3310.2900.1370.2600.2430.1160.6451.0000.5240.5430.5820.3260.4680.1930.0950.1250.1620.1930.1380.0980.1130.2110.1240.0830.1380.0570.0630.1290.1370.1040.1050.1110.1040.1480.1400.1070.1400.1260.1490.1450.1340.1050.0920.1680.1390.1030.1030.1520.1480.0810.0490.1590.1710.1190.1630.1430.1620.1760.1170.1080.0720.0840.1090.1850.1180.1080.0970.1370.1660.1380.1200.1270.1360.1020.2050.1720.1180.0880.2690.3520.1130.0960.0870.1480.1150.1000.0810.0790.0450.1260.0870.1120.1030.1020.1000.1220.0000.1100.1620.2320.1020.1470.1080.0990.0920.0930.1400.0630.1970.1600.1680.1540.0520.1610.1380.1340.2440.1420.1150.0990.1220.2360.2410.1360.1610.1520.1540.1240.0600.0690.1130.0730.1660.1260.0300.0800.0420.1130.0100.1150.0540.0760.1150.1600.0960.1640.1490.0890.1060.0490.0600.1350.0760.1240.0980.0520.0900.0240.0680.0300.1430.2390.000
Symptom_Speech_difficulty_reading_processing_text0.2050.2810.1720.3430.0430.3380.2320.2750.1070.3080.3370.3290.2630.1490.2430.2740.1040.5780.5241.0000.5980.4640.3050.5230.2110.0720.1470.1920.2080.1390.1200.1450.2520.1410.0830.1460.0640.0610.1510.1660.1330.1200.1200.1140.1520.1630.1200.1330.1280.1620.1420.1350.1110.0800.1750.1510.1040.1160.1520.1350.1140.0480.1860.1620.1160.1730.1590.1750.1650.1260.0940.0760.0640.1030.1970.1310.1170.1060.1460.1610.1420.1300.1530.1460.1180.1920.1800.1270.0850.2430.2960.1310.1140.1040.1820.1270.1130.0930.0740.0740.1190.1070.1050.0890.1230.0950.1240.0280.0980.1730.2460.1230.1680.1110.1320.1120.1140.1550.0560.1880.1420.1680.1640.0660.1620.1390.1620.2550.1500.1330.0990.1110.2640.2640.1520.2000.1830.1830.1460.0460.0840.1130.0930.1680.1360.0210.0990.0080.1210.0320.1380.0740.1020.1240.1690.1170.1850.1630.0980.1310.0700.0470.1370.0670.1110.1100.0640.1000.0170.0620.0320.1620.2550.030
Symptom_Speech_difficulty_understanding_others_speech0.1970.3030.1670.3430.0460.3610.2420.2800.1200.3290.3440.3480.2780.1740.2810.2590.0990.5800.5430.5981.0000.4760.3320.4330.2110.0730.1370.1910.2000.1380.1020.1400.2670.1460.0950.1310.0840.0730.1520.1740.1430.1240.1340.1090.1510.1640.1280.1420.1260.1450.1650.1460.1280.0920.1720.1590.1190.1280.1640.1480.1290.0430.1850.1740.1330.1550.1550.1930.1760.1160.1030.0820.0730.1260.2030.1230.1240.1270.1340.1660.1330.1210.1470.1270.1380.2080.1870.1270.0720.2820.3070.1280.1170.0950.1800.1340.1040.1040.1110.0720.1240.0950.1150.1110.1220.1140.1270.0200.1230.1690.2280.1120.1670.1160.1360.1150.1240.1290.0640.2010.1580.1860.1750.0520.1580.1330.1580.2750.1570.1370.1200.1130.2420.2770.1610.1870.1750.1490.1440.0600.0750.1080.0840.1820.1280.0250.0960.0300.1400.0000.1330.0680.0780.1400.1630.1140.1880.1740.1070.1220.0480.0490.1370.0650.1120.1080.0700.0990.0300.0880.0200.1540.2720.058
Symptom_Speech_difficulty_speaking_complete_sentences0.1710.2470.1610.2990.0480.2960.2140.2810.1030.2820.2930.2920.2700.1530.2660.2210.0850.5470.5820.4640.4761.0000.3690.4400.1940.0620.1140.1700.1710.1120.0800.1370.2010.1150.0620.1250.0900.0910.1290.1640.1120.1340.1210.0900.1430.1600.1150.1580.1230.1600.1590.1510.1100.1020.1250.1360.1060.1050.1510.1520.1120.0570.1590.1510.1210.1570.1330.1600.1780.1250.0870.0550.0800.1160.1720.1120.1220.1190.1430.1500.1140.1090.1270.1280.1290.1770.1770.1140.0800.2680.3730.1170.1020.0880.1430.0900.0950.0870.0960.0640.1000.0860.1130.0960.1150.1250.0970.0000.1180.1650.2320.1030.1500.1030.1180.0990.1070.1210.0430.1910.1460.1610.1650.0580.1520.1370.1650.2320.1560.1190.1250.1140.2370.2390.1340.1660.1610.1520.1230.0650.0670.0950.0830.1720.1090.0300.0730.0290.1030.0310.1060.0380.0810.1130.1480.1220.1520.1670.0730.1230.0760.0530.1260.0640.1010.0810.0400.0710.0000.0850.0240.1210.2200.034
Symptom_Speech_speaking_unrecognizable_words0.1450.1870.1050.1950.0240.2060.1630.2260.0600.1640.1710.1720.1560.1210.2290.1240.0650.3170.3260.3050.3320.3691.0000.2990.1100.0180.0720.1070.1110.0910.0600.1080.1440.0770.0490.1150.0610.0530.0880.1270.0910.1150.0990.0810.1230.1430.0750.1180.0920.0940.1270.1150.0970.0700.0900.0940.0750.1010.1660.1510.1510.0440.1430.1250.1220.1150.1090.1410.1290.0880.0700.0460.0900.0810.1380.0640.0890.1000.0970.1190.0790.0980.0880.0990.1120.1160.1340.0910.0540.1890.3360.0820.0640.0800.1020.0780.0770.0680.0770.0820.0690.0580.0830.0770.0730.1040.0770.0000.1200.1220.1620.0690.1020.0990.0960.1160.0960.0910.0130.1500.0920.1140.1410.0420.1510.1200.1370.1470.1020.0950.1020.0890.1620.1710.0870.1240.1100.1290.1070.0860.0620.0820.0680.1430.0790.0180.0410.0330.0990.0200.0800.0180.0520.0960.1390.0870.1300.1400.0720.1060.0340.0440.0640.0210.0810.0620.0350.0510.0070.0620.0000.0860.1600.038
Symptom_Speech_difficulty_communicating_writing0.1880.2310.1480.2710.0310.2770.2090.2760.1190.2390.2660.2670.2080.1340.2240.2000.0960.4450.4680.5230.4330.4400.2991.0000.1840.0870.1090.1420.1620.1200.1030.1130.2040.1090.0960.1360.0650.0590.1290.1360.1250.1060.1000.0870.1410.1470.1040.1270.1180.1500.1400.1080.1310.0790.1360.1380.1140.1030.1520.1440.1140.0510.1540.1640.1370.1630.1450.1570.1470.1170.0920.0460.0800.0950.1600.0990.1200.1040.1400.1360.1310.1250.1050.1470.0950.1550.1760.1060.0830.2240.2630.1150.0960.0880.1500.1030.0950.0680.0560.0550.0880.0720.0870.0810.1030.0990.1090.0300.0860.1380.2000.1070.1450.1310.1420.1000.0960.1360.0650.2020.1270.1260.1260.0610.1560.1240.1490.2010.1390.1190.0950.1050.2240.2220.1400.1480.1520.1470.1260.0590.0770.1300.0790.1430.1150.0250.0830.0400.1080.0000.1410.0630.0780.0970.1460.0830.1510.1540.1000.1280.0750.0620.1250.0490.0970.1070.0200.0770.0250.0760.0190.1380.2220.028
Symptom_Speech_changes_to_secondary_languages0.0900.0950.0230.1070.0210.1310.1380.1060.0660.1060.1220.1260.1000.0320.0670.0850.0790.2280.1930.2110.2110.1940.1100.1841.0000.0250.0400.0460.0700.0630.0380.0220.0880.0410.0660.0560.0230.0320.0630.0520.0510.0600.0560.0750.0430.0500.0360.0390.0570.0470.0720.0000.0520.0600.0860.0560.0470.0450.0600.0740.0510.0240.0610.0460.0450.0620.0580.0350.0580.0460.0340.0180.0380.0250.0520.0410.0220.0410.0670.0520.0410.0460.0470.0830.0650.0560.0230.0470.0220.1140.1280.0250.0250.0210.0450.0410.0170.0330.0520.0750.0440.0320.0500.0470.0620.0840.0600.0110.0420.0590.0700.0350.0430.0640.0610.0480.0670.0510.0200.0630.0380.0400.0490.0000.0420.0450.0750.0830.0560.0310.0450.0330.1040.0990.0410.0480.0650.0400.0420.0230.0460.0220.0240.0440.0430.0000.0460.0250.0730.0000.0360.0420.0180.0280.0370.0460.0620.0560.0370.0340.0290.0480.0470.0120.0580.0400.0850.0570.0560.0620.0000.0430.0730.044
Symptom_Speech_other0.0530.0430.0390.0750.0000.0760.0470.0520.1050.0450.0440.0470.0520.0130.0300.0350.1290.1270.0950.0720.0730.0620.0180.0870.0251.0000.0130.0120.0320.0340.0220.0520.0510.0210.1070.0010.0320.0000.0530.0510.0440.0350.0240.0000.0390.0530.0260.0200.0150.0210.0270.0000.0120.0170.0660.0230.0410.0240.0340.0180.0470.0440.0400.0480.0240.0490.0510.0420.0460.0160.0460.0390.0260.0310.0410.0650.0310.0170.0520.0570.0400.0200.0320.0300.0430.0550.0470.0330.0170.0760.1110.0630.0000.0500.0620.0120.0460.0000.0310.0190.0290.0000.0250.0380.0350.0110.0170.0690.0400.0480.0870.0550.0770.0390.0740.0310.0450.0140.0820.0420.0150.0550.0420.0100.0530.0860.0370.0410.0420.0210.0000.0830.0650.0900.0410.0660.0500.0680.0340.0500.0280.0160.0120.0560.0860.0000.0500.0000.0480.0170.0560.0410.0270.0220.0480.0270.0490.0410.0280.0430.0270.0000.0300.0000.0490.0110.0740.0160.0170.0280.0070.0410.0340.000
Symptom_Headaches_behind_eyes0.1550.1550.0780.1520.0140.1090.0480.0880.0200.1680.1610.1570.0930.1030.0790.1480.0330.1300.1250.1470.1370.1140.0720.1090.0400.0131.0000.3190.2700.1630.3670.2520.2910.2700.0440.1520.0450.0370.0850.0970.0680.1020.0760.0610.1300.1190.1250.1390.1080.1230.1070.0960.0990.0470.1050.1020.0690.1120.0880.0770.0550.0000.1570.1070.0500.1250.1380.1250.1010.1000.0890.0820.0340.0980.1400.0960.1070.0760.1000.1570.1000.0800.1250.0900.0940.1700.1650.0840.0460.1110.1020.1090.1060.0710.1700.1080.1150.0690.0550.0170.0980.1130.0970.0970.0920.0940.1280.0110.0760.1530.1850.0890.0820.0700.1260.0870.0880.1130.0000.1450.1720.1950.1390.0330.1420.0690.1060.1600.1750.1330.0530.1070.1800.2540.1510.3460.1610.0950.0650.0520.0750.1150.0860.1290.1140.0000.0940.0000.0710.0070.0830.0590.0780.0800.1570.0900.1570.1680.0800.1070.0500.0340.0920.0760.0880.0760.0490.0530.0000.0810.0450.1040.1380.038
Symptom_Headaches_stiff_neck0.1910.1880.1040.2070.0270.1520.0890.1230.0360.1960.1720.1900.1230.1310.1170.1890.0340.1710.1620.1920.1910.1700.1070.1420.0460.0120.3191.0000.3080.2360.2410.4100.3080.2610.0790.1920.0190.0300.0980.1290.0880.1130.1190.0770.1760.1760.1550.1870.1670.1530.1410.1510.1170.0890.1470.1300.0900.1330.0870.1140.0940.0340.1960.1700.1080.1900.1960.1880.1850.1150.1030.1040.0690.1380.1720.1200.1710.1150.1300.1720.1170.0860.1440.1370.1200.2120.2350.1110.0790.1450.1500.1520.1490.1050.1860.1200.1570.0880.0880.0590.1030.1460.1530.1370.1210.1100.1680.0030.0830.1650.1960.1000.1290.1010.1400.0950.1230.1310.0260.2110.2310.2480.1860.0480.2160.1200.1630.2010.1970.1650.1000.1100.2030.2400.1890.2310.1800.0960.0700.0420.0930.1340.1050.1340.0890.0110.0760.0160.0980.0200.1170.0410.0700.1350.2200.1540.1850.2010.1020.1260.0700.0350.1120.0750.1090.0890.0100.0720.0000.0670.0750.1210.1650.041
Symptom_Headaches_brain_pressure0.1680.2270.1240.2530.0380.1660.1350.1440.0280.2270.2120.2080.1810.1050.1070.2010.0460.1930.1930.2080.2000.1710.1110.1620.0700.0320.2700.3081.0000.3230.2620.2940.3420.2480.1170.2860.0310.0470.0840.1190.0830.1140.0960.0640.1930.2060.1330.1620.1610.1240.1410.1440.1240.0850.1200.1300.1040.1220.1260.1270.1070.0550.2010.1890.1650.2000.1830.1960.1870.1810.1790.1520.0980.1120.1390.1310.1170.0790.1240.1720.1640.1260.1680.1430.1200.2140.2020.0910.0650.2100.1770.1340.1110.0660.1810.1230.1250.0440.0210.0410.0750.1250.1330.0960.1220.0830.1360.0240.1060.2200.1940.1210.1210.0980.1170.0770.1070.1130.0420.2000.1540.1530.1560.0910.1650.1160.1880.2600.2190.2100.1430.1410.2000.2770.1700.2840.1560.1270.1160.0480.0840.1300.1170.1580.1080.0180.1020.0320.0960.0420.1080.0510.1150.1150.1790.1220.1530.1650.0720.1170.0590.0290.1240.0580.0990.0760.0340.0470.0000.1180.0460.1760.1990.064
Symptom_Headaches_diffuse0.1110.1570.0920.1540.0100.1210.0830.0760.0250.1560.1580.1370.1280.0620.0770.1470.0260.1370.1380.1390.1380.1120.0910.1200.0630.0340.1630.2360.3231.0000.1350.1930.2680.2140.0180.1900.0170.0140.0520.0640.0450.0600.0660.0540.0990.1060.0980.0970.0860.0970.0920.0740.0680.0440.1060.1030.0560.0880.0540.0710.0560.0130.1040.1040.0720.1010.1100.0950.1170.0850.0730.0700.0440.1090.0940.0840.1070.0900.0880.1330.0850.0810.1080.0740.0890.1540.1150.0810.0460.1250.0940.0620.0950.0420.1620.0870.0530.0640.0340.0270.0680.0970.1020.0810.0860.0580.1410.0270.0630.1410.0840.0670.0630.0780.0760.0700.0460.0860.0150.0950.1540.1170.1060.0160.0890.0610.1120.1510.1290.1040.0750.0940.0960.1710.1020.1510.0910.0610.0550.0600.0590.0840.0710.0850.0580.0000.0590.0000.0580.0000.0790.0630.0570.0580.1430.0700.1020.1030.0620.0630.0390.0290.0920.0500.0650.0130.0220.0380.0000.0800.0330.0840.1370.024
Symptom_Headaches_temples0.0980.1260.0650.1200.0130.1050.0530.0720.0000.1360.1270.1150.0910.0850.0460.1160.0160.0900.0980.1200.1020.0800.0600.1030.0380.0220.3670.2410.2620.1351.0000.2360.2710.2450.0320.1510.0180.0340.0680.0750.0780.0820.0530.0460.0920.0850.1140.1180.1050.1220.0980.0710.0740.0400.0980.1100.0940.0960.0410.0410.0400.0000.0990.0670.0440.1040.1020.0900.0990.1040.0980.0750.0620.0800.1050.0740.0910.0540.0750.1080.0890.0670.1090.0640.0560.1420.1170.0720.0270.0790.0640.1160.0850.0520.1420.0900.1090.0450.0300.0200.0730.0870.1210.1010.0880.0530.1280.0000.0610.1260.1180.0700.0530.0510.0630.0440.0620.0720.0080.1040.1310.1240.1040.0240.1110.0630.1140.1320.1540.1120.0790.0910.1260.1790.0910.1800.1070.0800.0570.0000.0460.0760.0750.0950.0590.0000.0770.0000.0340.0130.0240.0120.0640.0690.1510.0750.1070.1180.0620.0830.0320.0270.0860.0640.0550.0410.0240.0590.0000.0740.0380.0920.1060.044
Symptom_Headaches_base_of_skull0.1520.1540.0790.1570.0360.1120.0850.1270.0080.1360.1380.1390.1090.0880.0910.1250.0340.1340.1130.1450.1400.1370.1080.1130.0220.0520.2520.4100.2940.1930.2361.0000.2560.2390.0850.1990.0070.0080.0620.1030.0580.0780.0890.0590.1460.1730.1350.1520.1240.1220.1250.1030.0870.0690.0990.1320.0790.1200.0810.0830.0830.0260.1790.1610.1210.1640.1530.1770.1380.1190.1110.1020.0700.0990.1500.1170.1260.0910.1210.1490.1410.0880.1320.1280.0820.1760.2040.0890.0410.1300.1190.1200.1010.0700.1790.1210.1460.0510.0770.0380.0830.1010.1180.0930.1070.0820.1020.0000.0800.1550.1690.1060.1040.0880.1130.0740.1130.1060.0270.1920.1670.1750.1410.0500.1530.0920.1260.1650.2050.1310.0900.1070.1830.2090.1460.2170.1270.0990.0730.0240.0750.0820.0780.1060.0780.0130.0800.0380.0660.0200.1000.0520.0910.1060.1910.1120.1560.1490.0690.0840.0750.0370.1060.0380.0860.0650.0490.0620.0060.0740.0470.1510.1340.063
Symptom_Headaches_after_mental_exertion0.1630.2720.1740.3460.0450.2030.1320.1610.0360.2450.2470.2520.2040.1470.1380.2210.0400.2040.2110.2520.2670.2010.1440.2040.0880.0510.2910.3080.3420.2680.2710.2561.0000.2530.0820.2290.0370.0230.0970.1060.0820.0960.0810.0500.1480.1440.1430.1450.1470.1570.1490.1360.1320.0750.1440.1520.1140.1320.0820.1000.0970.0420.1560.1550.0880.1570.1450.1490.1700.1040.1030.0990.0920.1260.1850.1180.1330.1150.1120.1590.1490.1070.1310.0910.1210.1880.1760.1050.0620.1800.1630.1190.1020.0880.1690.1080.0930.0730.0560.0460.1120.1190.1120.1040.1360.0830.1340.0000.0960.1900.1610.1200.1250.0830.1100.0720.0910.0920.0260.1730.1800.1710.1500.0210.1250.0920.1640.2560.1590.1380.0950.0890.1780.2880.1470.2220.1360.1100.0900.0390.0540.0960.0920.1430.0960.0140.1210.0000.1230.0220.0890.0720.0880.0890.1690.1010.1530.1600.1070.1080.0390.0170.1730.0670.0940.0760.0410.0580.0270.1480.0510.1760.2370.102
Symptom_Headaches_migraines0.1600.1820.1170.1750.0140.1230.0740.1200.0000.1470.1420.1360.1080.1060.1130.1300.0360.1320.1240.1410.1460.1150.0770.1090.0410.0210.2700.2610.2480.2140.2450.2390.2531.0000.0640.1460.0290.0340.0610.0750.0570.0730.0680.0490.1160.1240.1170.1100.1300.1150.1440.1110.0790.0450.0810.1190.0790.1040.1080.1020.0900.0000.1020.1200.1030.1300.1010.1270.1290.1200.0970.0700.0620.1000.1260.0970.1020.0980.0910.0980.1080.0830.0960.0970.1080.1540.1490.0980.0500.1410.1040.1140.1060.1140.1680.1170.1080.0690.0480.0170.0960.1120.0950.0710.1020.0900.1230.0110.0770.1560.1210.1090.0870.0740.1040.0610.0790.0950.0110.1560.1370.1390.1420.0460.1180.0580.1250.1580.1630.1060.0770.0970.1210.2300.1190.1820.1050.1020.0630.0320.0590.0770.0750.1060.0630.0050.0940.0170.0850.0000.0650.0810.0770.0900.1580.0930.1250.1230.0950.1000.0380.0470.0910.0540.1110.0830.0540.0900.0340.1190.0180.1110.1720.113
Symptom_Headaches_other0.0890.0400.0260.0430.0000.0730.0560.0530.1370.0520.0840.0670.0540.0200.0390.0250.1110.0770.0830.0830.0950.0620.0490.0960.0660.1070.0440.0790.1170.0180.0320.0850.0820.0641.0000.0610.0200.0050.0380.0740.0410.0350.0280.0270.0590.0440.0380.0430.0510.0370.0470.0000.0230.0210.1160.0540.0500.0440.0490.0460.0340.0590.0990.0790.0530.0800.0600.0800.0480.0710.0560.0830.0000.0310.0490.1080.0340.0370.0810.0620.0430.0480.0520.0560.0390.0800.0910.0340.0200.0730.0550.0470.0370.0260.1080.0810.0480.0000.0250.0440.0320.0290.0190.0370.0310.0000.0400.1270.0240.0580.0900.0370.0690.0420.0610.0240.0250.0820.1010.0540.0460.0400.0510.0120.0040.0240.0580.0710.0600.0560.0380.0950.0860.0700.0710.0880.0490.0650.0150.0470.0520.0500.0410.0370.1230.0000.0000.0170.0210.0000.0800.0710.0110.0430.0700.0230.0570.0490.0360.0030.0690.0340.0520.0160.0420.0340.0220.0410.0000.0460.0050.0440.0390.022
Symptom_Headaches_brain_warmth0.1450.1100.0540.1340.0070.1060.1110.1010.0120.1130.0890.1100.1050.1040.0920.1040.0000.0960.1380.1460.1310.1250.1150.1360.0560.0010.1520.1920.2860.1900.1510.1990.2290.1460.0611.0000.0110.0220.0780.1040.0680.1090.0990.0790.1520.1520.1020.1040.1150.0820.1160.1060.0950.0740.0700.1150.0760.0800.1020.1000.0750.0370.1600.1620.1490.1280.1380.1390.1360.1460.1290.0970.1070.0880.1140.0990.0730.0500.1070.1260.1000.1220.0850.1220.1010.1170.1780.0760.0750.1570.1480.0870.0840.0230.1060.0940.1050.0000.0180.0350.0260.1010.0780.0500.1190.0590.0820.0000.0870.1400.1400.0930.0850.0820.1040.0790.0830.0830.0410.1590.0940.0980.1390.0780.1290.0750.1120.1650.1570.1480.1130.0970.1330.1580.0930.1660.1080.1360.0910.0640.0680.1030.0800.1230.0700.0290.0670.0500.0520.0460.0920.0330.0670.0870.1520.1060.0920.1290.0630.0990.0340.0290.0590.0190.0860.0650.0280.0000.0140.0690.0000.1070.0890.043
Symptom_Loss_of_smell0.0400.0530.0000.0560.0000.0980.0440.0670.0160.0630.0610.0560.0470.0690.0780.0660.0000.0840.0570.0640.0840.0900.0610.0650.0230.0320.0450.0190.0310.0170.0180.0070.0370.0290.0200.0111.0000.7200.2350.3020.2830.1750.0670.0650.0070.0290.0280.0440.0400.0380.0420.0510.0370.0370.0130.0320.0000.0430.0430.0410.0430.0000.0400.0280.0000.0460.0090.0300.0000.0170.0350.0070.0160.0600.0440.0000.0800.1140.0230.0430.0000.0000.0000.0000.0090.0390.0370.0030.0080.0740.0580.0000.0440.0760.0310.1150.0240.0730.0680.0120.0000.0140.0850.0950.0000.0670.0370.0000.0750.0000.0590.0000.0450.0520.0240.0400.0340.0060.0170.1020.0560.0690.0870.0000.0000.0290.0420.0000.0230.0200.0380.0220.0570.0500.0340.0270.0220.0440.0230.0310.0230.0130.0160.0420.0030.0000.0000.0020.0350.0280.0000.0040.0140.0410.0150.0180.0580.0490.0100.0660.0000.0140.0230.0180.0100.0000.0250.0590.0130.0540.0000.0000.0440.046
Symptom_Loss_of_taste0.0240.0760.0060.0740.0130.0990.0360.0780.0140.0710.0680.0660.0590.0800.0790.0770.0000.0710.0630.0610.0730.0910.0530.0590.0320.0000.0370.0300.0470.0140.0340.0080.0230.0340.0050.0220.7201.0000.2440.2840.2680.1960.0630.0890.0350.0430.0300.0720.0550.0630.0590.0570.0570.0370.0290.0350.0140.0340.0660.0620.0420.0160.0440.0350.0000.0620.0180.0410.0340.0210.0390.0000.0340.0870.0370.0000.0820.0980.0390.0650.0000.0000.0100.0000.0320.0410.0530.0240.0000.0680.0680.0000.0600.0660.0420.1360.0240.0770.0720.0000.0480.0330.0860.0910.0000.0840.0440.0000.0800.0170.0730.0150.0590.0590.0350.0600.0360.0280.0000.0930.0680.0730.0990.0000.0310.0390.0600.0280.0280.0460.0620.0310.0770.0720.0550.0330.0310.0410.0290.0360.0330.0300.0440.0510.0220.0000.0000.0120.0320.0440.0270.0090.0270.0530.0230.0390.0520.0670.0000.0730.0000.0000.0100.0260.0000.0000.0000.0740.0000.0550.0000.0000.0670.069
Symptom_Altered_taste0.1240.1170.0780.1230.0340.1460.0800.1160.0450.0870.1080.1150.0960.0800.1130.1050.0430.1200.1290.1510.1520.1290.0880.1290.0630.0530.0850.0980.0840.0520.0680.0620.0970.0610.0380.0780.2350.2441.0000.3270.5290.2670.1750.1610.0750.0690.0640.0920.0750.0910.0700.0810.0810.0420.0900.0630.0430.0650.0790.0950.0680.0290.1050.1060.0640.0980.0730.1060.0490.0740.0630.0320.0410.0890.1050.0400.1020.1000.0800.1120.0550.0250.0690.0490.0590.1030.1010.0680.0270.1090.1000.0590.1010.0890.1300.1480.0870.0850.0760.0080.0570.0420.1050.0970.0550.1080.1020.0000.0880.0640.1110.0570.1040.0930.0890.0710.0600.1200.0710.0940.0950.1220.1140.0140.0870.1000.0960.1070.0900.1010.0750.0700.1270.1390.0940.1130.1200.0800.0700.0320.0610.0790.0480.1360.0800.0000.0410.0040.0340.0210.0870.0000.0510.1230.1070.0960.1030.1210.0700.1010.0320.0310.0000.0130.0640.0390.0400.1040.0270.0360.0000.0580.1000.043
Symptom_Phantom_smell0.1650.1310.1240.1350.0430.1640.0860.1500.0160.1140.1230.1200.0860.1000.1550.1040.0360.1570.1370.1660.1740.1640.1270.1360.0520.0510.0970.1290.1190.0640.0750.1030.1060.0750.0740.1040.3020.2840.3271.0000.3810.4390.2580.1490.1130.1110.1010.1300.1200.1060.1040.1150.0990.0670.1050.0970.0570.0900.1340.1380.1330.0450.1590.1330.0850.1310.1120.1440.0710.1050.0990.0490.0670.1180.1400.0480.1110.1150.1140.1340.0990.0980.0990.1110.0610.1190.1650.0740.0510.1370.1400.0800.1220.1130.1330.1220.1220.0820.0810.0140.0560.0830.1340.1070.0840.1080.1060.0000.1030.1130.1610.0880.1390.1190.1430.1170.1160.1510.0610.1370.1280.1590.1810.0230.1170.1080.1270.1400.1370.1150.0950.0820.1590.1470.1160.1330.1410.0980.0910.0300.0680.0710.0750.1720.0750.0000.0610.0000.0860.0350.0950.0330.0770.1270.1480.1150.1680.1640.0810.1100.0240.0520.0290.0250.0670.0660.0370.1060.0000.0730.0120.1010.1130.055
Symptom_Altered_smell0.1120.0930.0720.1000.0290.1210.0810.1240.0420.0830.1000.1000.0580.0920.1160.0750.0300.1000.1040.1330.1430.1120.0910.1250.0510.0440.0680.0880.0830.0450.0780.0580.0820.0570.0410.0680.2830.2680.5290.3811.0000.2880.1970.1510.0720.0620.0520.0860.0740.0860.0700.0620.0870.0450.0680.0560.0370.0530.0890.0790.0770.0300.0840.0900.0580.0580.0600.0890.0430.0440.0380.0260.0420.0680.0910.0450.0730.0670.0740.0800.0550.0170.0630.0450.0440.0860.0800.0370.0140.1050.0990.0620.0670.0780.0990.1120.0680.0530.0620.0220.0190.0320.0940.0830.0390.0880.0730.0050.1070.0730.0930.0600.0940.0970.0680.0580.0560.1000.0510.0920.0860.1060.1010.0240.0750.0700.0930.1000.0840.0840.0920.0810.0920.1210.0670.0920.0890.0650.0630.0240.0500.0550.0730.1130.0630.0000.0460.0000.0550.0270.0740.0010.0540.0930.0930.0790.0750.1180.0670.0970.0330.0200.0000.0000.0650.0480.0260.0720.0000.0610.0000.0550.0840.022
Symptom_Phantom_taste0.1520.1100.0710.1220.0180.1130.0900.1460.0130.0730.0910.0960.0780.1120.1510.0660.0320.0880.1050.1200.1240.1340.1150.1060.0600.0350.1020.1130.1140.0600.0820.0780.0960.0730.0350.1090.1750.1960.2670.4390.2881.0000.1680.1860.1120.1040.0720.1070.1160.0940.1020.1030.1030.0760.0780.0730.0470.0890.1320.1330.1520.0370.1390.1280.0890.1160.1030.1260.0670.1130.0940.0490.0950.1020.1110.0380.0790.0610.1000.0890.0680.0730.0550.1130.0740.0770.1250.0530.0560.1390.1330.0690.0790.1030.1010.0910.1070.0360.0560.0580.0160.0530.1040.0790.0740.0960.0730.0000.1090.1020.1190.0690.1090.1120.1030.0990.1170.1090.0360.1190.0800.1310.1500.0510.0880.0810.1150.1040.1270.1120.1220.0960.1210.1200.0840.1270.1150.0960.1200.0560.0500.0840.0850.1180.0460.0080.0580.0000.0710.0230.0740.0280.0590.1090.1340.1350.1240.1310.0740.1130.0370.0520.0090.0230.0610.0680.0300.0500.0000.0130.0320.0660.1000.015
Symptom_Heightened_smell0.1820.0560.0630.0910.0290.0770.0500.1040.0310.0780.0740.0760.0910.0800.1020.0650.0350.1080.1110.1200.1340.1210.0990.1000.0560.0240.0760.1190.0960.0660.0530.0890.0810.0680.0280.0990.0670.0630.1750.2580.1970.1681.0000.4160.1030.0940.0840.0880.0930.1020.0920.0870.1030.0570.0580.0760.0640.0640.1210.1030.0750.0240.1360.1040.1000.0900.0930.1080.0660.0750.0630.0590.0940.0880.1190.0660.0910.0680.1190.1060.0960.0740.0920.1060.0770.0940.1050.0650.0680.0930.1150.0950.0910.0790.1100.0960.1140.0170.0450.0480.0490.0720.0970.0750.0700.0490.0800.0000.0810.0890.1150.0840.1080.0810.1050.0630.1160.1250.0320.1030.0800.1070.1320.0280.1160.0960.1020.1680.1270.1130.0910.0680.1080.1440.0960.1110.0830.1000.0820.0440.0810.1080.0870.1110.0680.0040.0630.0060.0470.0110.0850.0100.0590.1040.1150.0910.1140.1100.1040.0860.0480.0470.0420.0090.0830.1080.0000.0620.0000.0410.0000.1020.0530.000
Symptom_Heightened_taste0.1310.0600.0000.0710.0160.0890.0640.0960.0000.0670.0730.0760.0670.0780.1180.0550.0330.0840.1040.1140.1090.0900.0810.0870.0750.0000.0610.0770.0640.0540.0460.0590.0500.0490.0270.0790.0650.0890.1610.1490.1510.1860.4161.0000.0810.0740.0560.0770.0700.0930.0790.0600.0790.0290.0350.0630.0400.0270.0950.0970.0580.0050.0960.0990.0990.0730.0820.0920.0570.0510.0750.0170.0390.0640.1060.0530.0720.0460.0750.0710.0640.0690.0540.0760.0550.0730.0800.0430.0630.1070.1060.0610.0640.0810.0900.0830.0680.0000.0430.0500.0330.0390.0740.0570.0330.0510.0440.0000.0910.0570.0800.0610.0760.0590.0820.0390.0750.0700.0260.1000.0740.0990.1270.0070.0790.0600.0940.1180.0980.0890.0980.0620.0830.1030.0600.0780.0690.0580.0760.0380.0380.0770.0360.0740.0440.0090.0630.0050.0360.0320.0650.0000.0520.0810.0860.0800.0780.0990.0700.0640.0340.0570.0310.0180.0690.0840.0000.0180.0000.0000.0000.0650.0440.000
Symptom_Vibrating_sensations0.2000.1340.1130.1440.0150.1180.0680.1140.0470.1240.1310.1230.1180.0920.1120.0950.0380.1500.1480.1520.1510.1430.1230.1410.0430.0390.1300.1760.1930.0990.0920.1460.1480.1160.0590.1520.0070.0350.0750.1130.0720.1120.1030.0811.0000.4910.1570.1560.1830.1670.1410.1750.1160.0970.1560.1270.1010.1310.1260.1200.1270.0790.3250.2800.1810.2100.3390.3330.2140.1360.1260.1070.0920.0920.1560.1450.1210.0800.1440.1780.1910.1380.2120.2250.1210.1950.2430.1310.0830.1650.1930.1180.1340.0880.1560.1230.1540.0680.0500.0550.0990.1520.0970.0490.1980.0970.1000.0240.0770.2050.2220.1310.1380.1380.1640.1310.1150.1220.0670.2870.1560.1810.2020.1090.1880.1340.1790.2010.1700.1570.1180.1150.2200.2030.1520.1580.1510.1500.1010.0470.1000.1400.1240.1500.1140.0290.0950.0550.0850.0260.1310.0570.0870.1120.1570.1400.1500.1700.0810.1140.0410.0490.1280.0340.1410.1000.0150.0600.0000.0860.0430.1970.1160.000
Symptom_Tremors0.2200.1700.1390.1620.0000.1320.1030.1230.0450.1320.1200.1350.1170.0820.1330.0980.0340.1640.1400.1630.1640.1600.1430.1470.0500.0530.1190.1760.2060.1060.0850.1730.1440.1240.0440.1520.0290.0430.0690.1110.0620.1040.0940.0740.4911.0000.2200.1980.1650.1410.1740.1810.1060.1140.0900.1690.1000.1320.1540.1430.1240.0600.2770.2570.1910.2200.2810.2880.2430.1380.1360.0940.1120.1070.1720.1210.1360.0810.1340.1790.2090.1340.1790.2180.1410.2040.2470.1490.0990.1880.2100.1500.1440.1170.1720.1540.1600.0250.0540.0830.0870.1290.0980.0820.1680.1070.0860.0000.0900.1890.2340.1020.1380.1330.1790.1250.1470.1540.0190.3660.1630.1770.1900.0780.1980.1480.1960.2000.1790.1450.1420.1120.2280.2010.1480.1690.1550.1570.1090.0650.1070.1210.1010.1420.0980.0000.0710.0850.1110.0000.1440.0350.0780.1270.1730.1440.1690.1710.0700.1320.0640.0540.1180.0220.1460.1010.0480.0000.0000.0590.0000.2170.1560.029
Symptom_Insomnia0.1680.2150.1130.1540.0000.1390.0720.0810.0000.1470.1520.1440.1010.1040.0750.1830.0330.1410.1070.1200.1280.1150.0750.1040.0360.0260.1250.1550.1330.0980.1140.1350.1430.1170.0380.1020.0280.0300.0640.1010.0520.0720.0840.0560.1570.2201.0000.3180.2670.2320.2180.2220.1530.1870.2010.5490.3800.6430.1020.0870.0740.0220.1740.1750.1130.1500.1590.1540.1540.0830.0820.0570.0680.1240.1670.0990.1770.0900.1360.1570.1780.0990.1430.1120.0860.1740.1610.1090.0660.1330.1140.1420.1280.0680.1540.1450.1380.0710.0810.0510.1050.1020.0950.0720.1020.0940.1210.0240.0830.1450.1830.0900.1110.0850.1010.0580.0790.0920.0270.1790.1530.1790.1390.0660.1350.0980.1700.1500.1270.1120.0720.0900.1840.1380.1420.1520.1390.0850.0570.0240.0660.1110.0590.1200.0830.0250.0650.0260.0780.0260.1020.0190.0840.1150.1740.1220.1500.1210.0830.0990.0390.0410.1500.1020.1220.0870.0150.0420.0000.0780.3140.1810.1780.000
Symptom_Night_sweats0.1990.1910.1130.1640.0070.1570.0900.1280.0180.1580.1540.1460.1040.1300.1000.1510.0180.1520.1400.1330.1420.1580.1180.1270.0390.0200.1390.1870.1620.0970.1180.1520.1450.1100.0430.1040.0440.0720.0920.1300.0860.1070.0880.0770.1560.1980.3181.0000.2110.2600.2550.1950.1690.1310.3000.1830.1530.2470.1280.1110.0970.0550.1970.1600.0890.2000.1690.1610.1710.0930.0760.0750.0630.2090.2010.1360.2140.1360.1570.3300.1480.0760.1410.1600.0920.1710.1720.1020.0770.1560.1280.1330.1590.0960.1710.1480.1640.0780.0770.0760.0890.1150.1390.1110.1220.0870.1480.0080.1050.1460.1820.1090.1150.1140.1450.0910.1430.1410.0470.1900.1850.1910.1720.0720.1730.1230.1760.1740.1480.1340.1250.0700.2020.1790.1560.1620.1580.1010.0550.0210.0830.1290.1130.1460.0860.0530.0870.0230.1040.0430.0930.0550.0930.1260.2080.1670.1870.1670.0880.1140.0420.0400.1320.0760.1120.0800.0000.0690.0000.0710.1770.1500.1570.019
Symptom_Awakened_cannot_breathe0.1820.1400.1230.0990.0350.0960.0630.1220.0290.1470.1240.1330.0890.1080.1170.1340.0180.1150.1260.1280.1260.1230.0920.1180.0570.0150.1080.1670.1610.0860.1050.1240.1470.1300.0510.1150.0400.0550.0750.1200.0740.1160.0930.0700.1830.1650.2670.2111.0000.1630.2130.1660.1350.2620.2630.1650.1020.2150.1150.1080.0880.0370.1730.1790.1440.1720.1770.1910.1630.1000.0970.0630.0900.1270.1350.0940.1550.0750.1340.1570.2010.1450.2050.1840.1090.1550.1760.3160.1220.1590.1300.0890.1250.0940.1450.1280.1490.1200.0910.1050.2460.2510.0930.0660.2250.1710.1450.0000.0910.1310.1390.1180.0940.1000.1530.0870.0920.1110.0000.1830.1220.1540.1680.1190.2270.1520.1640.1510.1360.1260.1240.0630.1550.1600.1310.1420.1270.1060.0670.0390.0870.1060.1120.1130.0540.0290.0800.0100.0760.0500.0740.0290.0820.1090.1630.1130.1410.1600.0910.0960.0270.0240.1340.0490.1030.1030.0380.0620.0370.0790.1310.2040.1310.046
Symptom_Vivid_dreams0.1470.1490.0910.1520.0440.1470.0920.1070.0110.1550.1700.1650.1250.1220.1240.1550.0120.1560.1490.1620.1450.1600.0940.1500.0470.0210.1230.1530.1240.0970.1220.1220.1570.1150.0370.0820.0380.0630.0910.1060.0860.0940.1020.0930.1670.1410.2320.2600.1631.0000.4470.1460.3840.1120.2920.1450.1280.1830.1640.1600.1280.0600.1530.1310.0690.1300.1260.1350.1080.0710.0520.0450.0440.1100.1690.0980.1120.0780.1120.1540.1120.0750.1270.0980.0670.1400.1190.0810.0520.1340.1290.1110.1210.0820.1420.1130.1170.0300.0600.0440.1000.0920.1250.0880.0850.1050.1000.0000.0770.1590.1380.1020.1280.0940.0820.0640.0960.0910.0250.1420.1210.1360.1120.0730.1320.0840.1550.1530.1270.1240.0710.0960.1540.1530.1390.1210.1570.0810.0720.0200.0650.1240.0740.1500.0660.0050.0920.0140.0750.0230.0800.0370.0910.1070.1390.1430.1350.1520.0890.0940.0370.0010.1050.0540.0700.0710.0470.0440.0280.0220.1660.1210.1230.021
Symptom_Nightmares0.1560.1770.0730.1470.0400.1320.1020.1230.0180.1510.1570.1410.1170.1180.1230.1380.0330.1510.1450.1420.1650.1590.1270.1400.0720.0270.1070.1410.1410.0920.0980.1250.1490.1440.0470.1160.0420.0590.0700.1040.0700.1020.0920.0790.1410.1740.2180.2550.2130.4471.0000.1340.3070.1100.2220.1700.1330.1850.1870.1700.1120.0610.1540.1330.1200.1170.1290.1730.1180.0940.0910.0550.0620.1320.1610.0690.1100.0980.1030.1420.1290.0880.1270.1280.1120.1280.1560.1180.0320.1770.1500.1170.1400.0930.1490.1310.1440.0510.0710.0770.0970.1000.1170.0840.1180.1010.1220.0220.0860.1580.1300.1040.1160.1030.1190.0880.0950.1150.0360.1530.1200.1340.1260.0650.1500.0940.1640.1780.1340.1370.0900.0840.1400.1800.1390.1450.1430.0920.0670.0630.0690.1110.0890.1660.0660.0280.0830.0250.0920.0140.1030.0350.1030.0990.1630.1420.1330.1510.0910.1080.0290.0240.0910.0490.0780.0840.0270.0590.0440.1060.1220.1310.1510.070
Symptom_Restless_leg0.1410.1650.0840.1350.0530.1130.0800.1020.0210.1280.1390.1250.0880.1270.1170.1300.0430.1380.1340.1350.1460.1510.1150.1080.0000.0000.0960.1510.1440.0740.0710.1030.1360.1110.0000.1060.0510.0570.0810.1150.0620.1030.0870.0600.1750.1810.2220.1950.1660.1460.1341.0000.1530.1340.1640.1740.1030.1850.1070.1180.1160.0210.1690.1530.1200.1490.1700.1810.1520.0590.0760.0340.0750.0910.1590.0530.0890.0500.0900.1140.1020.0560.1020.1130.1050.1160.1970.0770.0470.1120.1180.0990.0860.0880.1190.0560.1200.0530.0600.0590.0730.0720.0980.0770.0690.1110.0730.0080.1000.1200.1380.0610.1100.0820.0970.0790.1100.1010.0230.2170.1590.1650.1680.0400.1220.1020.1210.1460.1000.0820.0870.0530.1350.1410.1120.1210.1460.0700.0620.0190.0480.0730.0790.1430.0540.0280.0600.0500.0790.0420.0830.0170.0210.0830.1260.1190.1510.1280.0520.1080.0300.0440.0880.0550.0760.0610.0150.0300.0000.0390.0850.1080.1510.025
Symptom_Lucid_dreams0.1020.1230.0620.1280.0470.1160.0830.1080.0230.1320.1040.1320.0750.1260.1230.0990.0080.1040.1050.1110.1280.1100.0970.1310.0520.0120.0990.1170.1240.0680.0740.0870.1320.0790.0230.0950.0370.0570.0810.0990.0870.1030.1030.0790.1160.1060.1530.1690.1350.3840.3070.1531.0000.0860.1740.1110.1020.1190.1430.1740.1050.0820.1130.0910.0860.1040.0940.1210.1010.0550.0530.0490.0510.0550.1050.0710.0630.0590.0960.0900.0800.0570.0710.0760.0610.0990.1000.0440.0430.1280.1030.0930.0840.0730.1010.0700.0820.0180.0550.0410.0540.0600.0930.0550.0590.0850.0490.0210.0960.0930.1010.0590.0850.0820.0680.0540.0960.0790.0090.1230.0780.1110.1130.0540.1100.0740.1210.1090.1030.1050.0830.0780.1270.1340.1200.0930.1160.0630.0340.0320.0740.0940.0560.1360.0490.0420.0520.0240.0840.0190.0560.0000.0580.0890.1050.1260.1080.1320.0460.1020.0310.0160.0430.0140.0350.0330.0270.0000.0000.0170.0840.0800.1070.000
Symptom_Sleep_apnea0.1450.1060.0490.0660.0120.0830.0690.0930.0280.0700.0810.0770.0560.0490.0660.0690.0240.0880.0920.0800.0920.1020.0700.0790.0600.0170.0470.0890.0850.0440.0400.0690.0750.0450.0210.0740.0370.0370.0420.0670.0450.0760.0570.0290.0970.1140.1870.1310.2620.1120.1100.1340.0861.0000.1430.1150.0810.1450.0910.1150.0760.0400.1140.1000.0890.0920.1020.0980.0850.0640.0450.0370.0620.0530.0990.0690.0710.0440.0950.0920.0990.0910.0680.1180.0680.0770.1190.0830.1000.1180.1310.0730.0630.0620.0700.0460.1050.0210.0520.0710.0530.0570.0720.0550.0650.1110.0470.0000.0760.0910.1120.0380.1040.0830.0760.0590.0770.0580.0060.1200.0610.0940.1020.0570.0980.0880.0560.0870.0570.0670.0610.0620.0930.0970.0740.0870.0710.0760.0670.0510.0540.0650.0510.0790.0410.0260.0000.0750.0920.0390.0750.0000.0450.0440.0870.0830.0730.1140.0670.0890.0340.0220.0450.0070.0970.0940.0350.0630.0100.0280.0450.1050.0940.039
Symptom_Sleep_other0.1510.1700.0770.1060.0230.1460.0750.1010.0960.1680.1680.1620.1200.0820.0790.1590.1150.1850.1680.1750.1720.1250.0900.1360.0860.0660.1050.1470.1200.1060.0980.0990.1440.0810.1160.0700.0130.0290.0900.1050.0680.0780.0580.0350.1560.0900.2010.3000.2630.2920.2220.1640.1740.1431.0000.1750.1030.1680.0940.0960.0800.0530.1400.1230.0710.1310.1230.1120.1110.0540.0410.0620.0260.0970.1450.1930.0770.1180.1360.2030.1130.0820.1890.1080.0500.1600.1010.1410.0640.1300.1010.0880.1170.0530.1470.1420.1280.0780.0780.0480.1220.1140.1110.1110.1030.0890.1280.0700.0380.1500.1280.0620.1070.0660.0680.0720.0690.1120.0820.1170.1370.1370.1170.0320.1150.0790.1230.1440.1020.1030.0310.1090.1440.1360.1350.1150.1280.0570.0370.0000.0500.0820.0640.1090.1310.0190.0500.0150.0560.0140.0990.0490.0610.1030.1250.0900.1140.1350.0980.0550.0460.0250.1360.0790.0790.0550.0610.0610.0390.0000.2310.1170.1430.000
Symptom_Difficulty_falling_asleep0.1390.2090.1090.1670.0300.1400.0700.0840.0310.1730.1460.1420.1150.1330.1090.1400.0420.1620.1390.1510.1590.1360.0940.1380.0560.0230.1020.1300.1300.1030.1100.1320.1520.1190.0540.1150.0320.0350.0630.0970.0560.0730.0760.0630.1270.1690.5490.1830.1650.1450.1700.1740.1110.1150.1751.0000.3180.4740.1040.0980.0890.0060.1380.1310.1000.1130.1320.1290.1420.0540.0720.0660.0430.1060.1600.0860.1280.1030.0930.1440.1420.0830.1250.1010.0860.1490.1480.1010.0780.1330.1290.1260.1150.0700.1500.1340.1100.0660.0700.0290.0980.0930.1030.0840.0960.0740.1050.0000.0580.1140.1340.0960.1060.0720.0810.0580.0790.0720.0470.1560.1350.1370.1280.0570.1110.0930.1300.1390.1090.0870.0650.0790.1410.1460.1140.1370.0990.1000.0740.0240.0250.0890.0610.1090.0560.0170.0700.0180.0810.0210.0730.0510.0740.1050.1510.0950.1140.0980.0820.1050.0360.0280.0880.0580.0840.0770.0540.0670.0160.1070.1050.1500.1890.049
Symptom_Waking_up_early0.1050.1170.0630.0880.0180.1070.0880.0600.0320.1100.1150.1050.0970.0890.0740.0980.0180.1040.1030.1040.1190.1060.0750.1140.0470.0410.0690.0900.1040.0560.0940.0790.1140.0790.0500.0760.0000.0140.0430.0570.0370.0470.0640.0400.1010.1000.3800.1530.1020.1280.1330.1030.1020.0810.1030.3181.0000.3870.0680.0580.0810.0240.0910.1020.0670.0890.0770.0790.0760.0810.0640.0420.0530.0660.1280.0850.0840.0400.0760.1000.0880.0630.0860.0730.0530.0870.0650.0470.0410.0860.0880.0690.0770.0270.1080.0980.0810.0450.0370.0340.0650.0580.0830.0870.0850.0420.0760.0000.0720.0740.1120.0790.0740.0740.0840.0510.0520.0680.0410.0780.0740.0860.0640.0460.0840.0590.1260.1210.0950.0780.0630.0770.1230.1270.1010.0980.0830.0750.0780.0220.0480.0840.0510.1000.0940.0220.0470.0330.0640.0160.0730.0170.0640.0990.1020.0980.1050.0980.0420.0700.0290.0120.0750.0390.0760.0660.0000.0140.0160.0510.1000.1020.0940.000
Symptom_Waking_up_in_night0.1400.1710.0810.1330.0160.1500.0670.0800.0180.1410.1490.1420.1040.1140.0660.1580.0000.1350.1030.1160.1280.1050.1010.1030.0450.0240.1120.1330.1220.0880.0960.1200.1320.1040.0440.0800.0430.0340.0650.0900.0530.0890.0640.0270.1310.1320.6430.2470.2150.1830.1850.1850.1190.1450.1680.4740.3871.0000.0930.0710.0790.0160.1420.1390.0900.1290.1320.1300.1160.0620.0700.0500.0500.1180.1440.0960.1460.0990.1190.1520.1420.0940.1290.0750.0860.1580.1520.0830.0450.1120.1080.1280.1170.0610.1450.1370.1300.0800.0690.0210.0880.0960.0870.0840.0940.0670.1150.0240.0600.1370.1470.0740.1130.0740.1050.0520.0630.0910.0360.1430.1300.1560.1170.0420.1050.0810.1380.1320.1100.0950.0500.0680.1480.1220.1270.1390.1290.0680.0620.0180.0610.0930.0540.1120.0640.0220.0660.0150.0800.0390.0920.0000.0750.1170.1560.1040.1360.0890.0770.0840.0320.0280.1180.0720.0890.0680.0080.0460.0000.0770.2080.1440.1450.033
Symptom_Hallucinations_visual0.1620.1320.0710.1220.0180.1300.1010.1810.0190.1150.1160.1090.0990.1070.1590.0820.0310.1540.1520.1520.1640.1510.1660.1520.0600.0340.0880.0870.1260.0540.0410.0810.0820.1080.0490.1020.0430.0660.0790.1340.0890.1320.1210.0950.1260.1540.1020.1280.1150.1640.1870.1070.1430.0910.0940.1040.0680.0931.0000.4050.2430.1430.1410.1480.1260.1130.1060.1430.1090.0820.0750.0460.1030.0980.1050.0710.0880.0680.1390.1050.1030.0980.0760.1300.1280.1240.1280.0890.1090.2220.1810.0850.0760.0970.1120.0960.0640.0270.0480.0770.0600.0590.0800.0620.0770.0810.0450.0000.0950.1060.1740.0680.1110.1160.0960.0790.0900.0990.0400.1550.0870.1160.1210.0480.1240.1040.1160.1570.1040.0970.1120.0850.1710.1720.0930.1110.1340.1660.1030.0850.0500.0880.0650.3010.0870.0240.0700.0500.1010.0200.0790.0000.0540.0970.1190.0790.1210.1090.0600.1200.0520.0590.0490.0160.0960.0770.0500.0290.0000.0240.0000.1040.1220.000
Symptom_Hallucinations_auditory0.1700.1280.0810.1470.0000.1400.1130.1630.0420.1100.1230.1160.0860.1170.1840.0680.0060.1410.1480.1350.1480.1520.1510.1440.0740.0180.0770.1140.1270.0710.0410.0830.1000.1020.0460.1000.0410.0620.0950.1380.0790.1330.1030.0970.1200.1430.0870.1110.1080.1600.1700.1180.1740.1150.0960.0980.0580.0710.4051.0000.2860.1170.1370.1400.1220.1120.1030.1470.1040.0790.0920.0460.0970.1040.1340.0340.0770.0650.1070.0950.0810.0840.0730.1190.1170.1020.1430.0900.0920.2090.1830.0920.0640.0770.1050.0790.0860.0260.0580.0680.0550.0460.1040.0800.0710.1210.0470.0000.1080.1320.1470.0630.1240.1030.1330.0860.1580.1190.0230.1600.0850.1170.1290.0540.1330.0840.1310.1630.1030.1060.1430.1030.1550.1620.1060.0940.1270.1790.1100.0900.0570.0950.0940.2050.0710.0450.0320.0570.1050.0030.0750.0090.0410.1030.1100.1010.1240.1390.0580.1350.0680.0660.0450.0000.0830.0620.0460.0240.0010.0000.0080.0800.1130.040
Symptom_Hallucinations_tactile0.1300.0950.0490.0830.0200.1020.1020.1230.0290.0700.0890.0830.0850.0770.1280.0600.0220.0950.0810.1140.1290.1120.1510.1140.0510.0470.0550.0940.1070.0560.0400.0830.0970.0900.0340.0750.0430.0420.0680.1330.0770.1520.0750.0580.1270.1240.0740.0970.0880.1280.1120.1160.1050.0760.0800.0890.0810.0790.2430.2861.0000.1010.1390.1310.0970.1170.1020.1620.0910.0920.0890.0850.0610.0700.1000.0630.0540.0500.0780.0830.0840.0740.0790.1060.1140.0650.1150.0510.0570.1350.1340.0770.0590.0760.0730.0540.0670.0330.0500.0750.0190.0420.0900.0370.0660.0930.0530.0150.1040.0970.1130.0440.1170.1210.1250.0990.1180.0760.0360.1230.0560.0900.1130.0580.0960.0660.0910.1080.0920.0900.1240.0680.1120.1180.0600.0830.1180.1260.1130.1070.0440.0750.0740.1490.0570.0430.0420.0270.0820.0360.0530.0000.0280.0560.0860.1010.1230.1140.0320.1090.0410.0460.0470.0120.0740.0420.0530.0270.0000.0000.0000.0840.0880.022
Symptom_Hallucinations_other0.0600.0120.0000.0230.0000.0360.0250.0530.0580.0260.0340.0330.0200.0000.0220.0200.0860.0400.0490.0480.0430.0570.0440.0510.0240.0440.0000.0340.0550.0130.0000.0260.0420.0000.0590.0370.0000.0160.0290.0450.0300.0370.0240.0050.0790.0600.0220.0550.0370.0600.0610.0210.0820.0400.0530.0060.0240.0160.1430.1170.1011.0000.0490.0590.0170.0550.0340.0440.0450.0040.0000.0300.0420.0090.0250.0560.0530.0340.0370.0440.0150.0280.0320.0000.0490.0470.0310.0250.0320.0940.0600.0460.0350.0220.0400.0230.0330.0000.0270.0590.0170.0210.0210.0280.0320.0530.0220.0340.0650.0570.0550.0020.0720.0610.0250.0520.0000.0360.0440.0460.0380.0240.0280.0360.0370.0490.0340.0340.0400.0440.0410.0390.0530.0660.0540.0240.0260.0690.0320.0280.0170.0340.0410.0750.0650.0000.0000.0050.0310.0000.0810.0180.0000.0150.0410.0330.0290.0570.0110.0330.0470.0240.0240.0000.0360.0160.0280.0000.0000.0310.0340.0060.0130.031
Symptom_Sensations_skin_burning_no_rash0.2860.1560.1010.1550.0110.1500.0800.1440.0270.1510.1570.1500.1170.1270.1250.1300.0500.1890.1590.1860.1850.1590.1430.1540.0610.0400.1570.1960.2010.1040.0990.1790.1560.1020.0990.1600.0400.0440.1050.1590.0840.1390.1360.0960.3250.2770.1740.1970.1730.1530.1540.1690.1130.1140.1400.1380.0910.1420.1410.1370.1390.0491.0000.4180.1950.2590.4410.3220.2140.1640.1540.1150.0940.1210.1970.1390.1510.0960.1710.2150.1630.1340.1740.2350.1030.1920.3630.1390.1040.1810.1980.1600.1740.0910.1890.1310.1770.0730.0580.0690.0830.1140.1270.0870.1690.0960.1090.0230.1130.2140.2400.1120.1710.1910.2070.1660.1860.2320.1230.2810.1920.2340.2540.0910.2070.1310.1900.2100.1820.1660.1410.1300.2440.2300.2010.2140.1800.1450.0980.0490.1230.1530.1280.1730.1210.0640.0730.0570.1120.0270.1470.0310.0790.1370.2060.1650.3930.2510.1260.1770.0880.0520.1080.0410.1350.1370.0370.0580.0000.0490.0510.1750.1310.009
Symptom_Sensations_numbness_loss_sensation0.2040.1540.1040.1400.0370.1360.0970.1320.0330.1460.1310.1440.1320.0890.1100.1260.0320.1640.1710.1620.1740.1510.1250.1640.0460.0480.1070.1700.1890.1040.0670.1610.1550.1200.0790.1620.0280.0350.1060.1330.0900.1280.1040.0990.2800.2570.1750.1600.1790.1310.1330.1530.0910.1000.1230.1310.1020.1390.1480.1400.1310.0590.4181.0000.2890.2670.4150.2840.2350.1990.1910.1680.1480.0830.1740.1270.1330.0590.1500.1640.1700.1170.1410.2380.1280.2060.3310.1260.1060.1870.2130.1430.1330.1080.1850.1320.1590.0660.0580.0660.0820.1100.1050.0840.1410.0990.0980.0270.1330.1800.2230.1150.1670.1640.1830.1670.1370.1460.0750.2740.1810.2100.1910.1080.1780.1220.1810.1680.1800.1580.1960.1040.2240.1940.1640.1880.1640.1380.1160.0750.1150.1320.1120.1470.1040.0360.0810.0680.1200.0190.1350.0620.0600.1200.2130.1490.1800.1770.0720.1440.0750.0450.1090.0450.1220.0970.0440.0370.0000.0290.0270.1770.1380.003
Symptom_Sensations_numbness_one_sided_weakness0.1530.1120.0610.1280.0000.0870.0900.0940.0370.0910.0740.0780.0800.0770.0960.0670.0310.1150.1190.1160.1330.1210.1220.1370.0450.0240.0500.1080.1650.0720.0440.1210.0880.1030.0530.1490.0000.0000.0640.0850.0580.0890.1000.0990.1810.1910.1130.0890.1440.0690.1200.1200.0860.0890.0710.1000.0670.0900.1260.1220.0970.0170.1950.2891.0000.1920.2100.2060.1920.2680.2100.1060.2080.0700.0880.0740.0640.0320.1050.0920.1210.1150.1170.1710.1300.1280.2210.1160.0930.1590.1840.0990.0790.0790.1130.0660.0880.0370.0260.0460.0620.0930.0600.0260.1150.0520.0670.0060.0870.1350.1740.0820.1240.1210.1290.1220.1170.0930.0430.1840.1060.1270.1430.1110.1270.1080.1440.1470.1220.0940.1930.0870.1680.1480.1070.1420.1230.1460.1050.0840.0830.0870.0890.1320.0620.0350.0900.0630.0980.0200.0920.0430.0500.0910.1320.0540.1100.0960.0300.1070.0390.0510.0630.0220.0940.0880.0690.0220.0000.0690.0000.1240.1050.013
Symptom_Sensations_coldness0.2190.1570.1220.1420.0190.1420.0820.1220.0330.1250.1210.1420.1260.0860.1280.1310.0390.1730.1630.1730.1550.1570.1150.1630.0620.0490.1250.1900.2000.1010.1040.1640.1570.1300.0800.1280.0460.0620.0980.1310.0580.1160.0900.0730.2100.2200.1500.2000.1720.1300.1170.1490.1040.0920.1310.1130.0890.1290.1130.1120.1170.0550.2590.2670.1921.0000.2570.2440.2570.1280.1540.1370.1150.1520.1800.2410.1650.0840.2690.2870.1660.1440.1590.1920.1100.1930.2370.1050.0990.1740.1760.1500.1420.0900.1820.1510.1690.0660.0740.0530.0870.1020.1350.1030.1200.1310.1250.0220.1100.1980.2130.1220.1570.1400.1520.1540.1400.1490.0700.2130.1830.1840.1890.0750.1860.1350.1920.2340.1600.1520.1170.1100.2260.2150.1840.1720.1960.1270.1010.0580.1100.1570.1290.1610.1250.0480.0900.0560.0980.0430.1270.0720.0840.1460.1930.1600.1930.1870.0880.1270.0710.0550.1150.0430.1430.1100.0090.0630.0000.0000.0260.1680.1380.026
Symptom_Sensations_tingling_prickling0.1920.1390.1200.1250.0330.1130.0820.0880.0170.1340.1250.1230.1120.0900.1050.1270.0320.1600.1430.1590.1550.1330.1090.1450.0580.0510.1380.1960.1830.1100.1020.1530.1450.1010.0600.1380.0090.0180.0730.1120.0600.1030.0930.0820.3390.2810.1590.1690.1770.1260.1290.1700.0940.1020.1230.1320.0770.1320.1060.1030.1020.0340.4410.4150.2100.2571.0000.3250.2290.1430.1490.1290.1140.1020.1670.1210.1280.0690.1570.1710.1990.1290.2010.2180.1270.1990.3480.1240.0660.1470.1820.1390.1480.0930.1570.1230.1440.0700.0670.0460.0800.1350.1220.0910.1910.0920.1120.0320.0800.1940.2180.1330.1670.1530.1600.1390.1230.1320.0760.2650.1930.2160.1850.0790.1900.1220.1590.1790.1570.1510.1300.1060.2250.1990.1570.1650.1550.1300.0980.0500.0730.1320.1180.1260.0970.0110.0960.0300.1060.0260.1320.0640.0910.1100.1860.1380.1920.1750.0840.1460.0660.0490.1330.0450.1200.0940.0300.0630.0060.0700.0460.2110.1220.027
Symptom_Sensations_electrical_zaps0.2200.1380.1060.1520.0390.1320.1090.1360.0490.1290.1340.1180.1340.0950.1340.1040.0370.1750.1620.1750.1930.1600.1410.1570.0350.0420.1250.1880.1960.0950.0900.1770.1490.1270.0800.1390.0300.0410.1060.1440.0890.1260.1080.0920.3330.2880.1540.1610.1910.1350.1730.1810.1210.0980.1120.1290.0790.1300.1430.1470.1620.0440.3220.2840.2060.2440.3251.0000.2070.1670.1780.1270.1120.0960.1780.1350.1280.0600.1580.1780.1770.1500.1710.2140.1490.1830.3700.1350.0890.1800.1870.1220.1260.1190.1590.1150.1390.0550.0600.0470.0850.1080.1070.0720.1400.0930.1010.0380.1110.1940.2370.1230.1820.1330.1660.1320.1370.1610.0580.3210.1630.1910.2260.1160.1690.1120.1640.2100.1800.1730.1300.1340.2510.2040.1810.1790.1750.1650.1140.0560.1080.1310.1180.1740.1110.0590.0980.0580.1030.0380.1460.0340.0740.1150.1720.1500.2000.1830.1060.1460.0720.0650.0840.0310.1170.1090.0540.0620.0000.0730.0070.1830.1240.017
Symptom_Sensations_weakness0.1610.2560.1950.1850.0000.1650.1010.1180.0280.1720.1740.1750.1450.0900.1170.1590.0000.1740.1760.1650.1760.1780.1290.1470.0580.0460.1010.1850.1870.1170.0990.1380.1700.1290.0480.1360.0000.0340.0490.0710.0430.0670.0660.0570.2140.2430.1540.1710.1630.1080.1180.1520.1010.0850.1110.1420.0760.1160.1090.1040.0910.0450.2140.2350.1920.2570.2290.2071.0000.0950.1050.0810.0730.0830.1660.1380.1300.0800.1420.1790.1280.0940.1220.1510.1250.2390.2350.1650.0840.2120.2070.1310.1070.0970.1790.1330.0950.0780.0910.0480.1050.1190.1300.0830.1300.0930.1020.0190.1070.1350.1890.0840.1470.1370.1110.1150.1050.1000.0520.2260.2450.2230.1820.0510.1590.0890.1580.1730.1400.1040.1110.1150.1940.2160.1350.1720.1210.1220.0940.0270.0660.1130.1110.1270.0850.0240.0800.0400.1260.0000.1190.0000.0700.1230.1710.1320.1440.1260.0670.1190.0450.0330.1320.0920.1210.0580.0240.0310.0240.0500.0130.1290.2280.000
Symptom_Sensations_facial_pressure_left0.1640.0730.0430.0980.0000.0660.0590.0940.0300.0740.0600.0730.0810.0400.0650.0550.0000.1070.1170.1260.1160.1250.0880.1170.0460.0160.1000.1150.1810.0850.1040.1190.1040.1200.0710.1460.0170.0210.0740.1050.0440.1130.0750.0510.1360.1380.0830.0930.1000.0710.0940.0590.0550.0640.0540.0540.0810.0620.0820.0790.0920.0040.1640.1990.2680.1280.1430.1670.0951.0000.3680.1460.2690.0530.0960.0530.0750.0350.0700.0880.1050.0850.0960.1640.0830.1010.1880.0730.0930.1250.1440.0750.0630.0430.0940.0670.0970.0330.0470.0520.0420.0760.0630.0490.1170.0450.0780.0240.0720.1130.1450.0750.0770.1220.1160.0770.1050.1150.0270.1410.0880.0980.1280.0880.1390.1150.1290.1380.1540.1520.2090.0980.1370.1420.0980.1850.1300.1000.0670.0280.0570.1000.1030.1390.0610.0000.0680.0370.0580.0130.0790.0260.0620.0750.1090.0820.1140.1130.0550.0800.0400.0420.0560.0000.0940.0700.0360.0210.0000.0450.0170.1120.0440.054
Symptom_Sensations_facial_pressure_right0.1500.0830.0550.0930.0200.0590.0580.0600.0000.0720.0540.0690.0630.0590.0840.0520.0000.0980.1080.0940.1030.0870.0700.0920.0340.0460.0890.1030.1790.0730.0980.1110.1030.0970.0560.1290.0350.0390.0630.0990.0380.0940.0630.0750.1260.1360.0820.0760.0970.0520.0910.0760.0530.0450.0410.0720.0640.0700.0750.0920.0890.0000.1540.1910.2100.1540.1490.1780.1050.3681.0000.1570.2370.0510.0930.0730.0670.0290.0770.0880.1060.1080.0800.1400.0760.0930.1730.0670.0670.1160.1460.0830.0680.0460.0810.0800.0760.0170.0510.0630.0290.0620.0780.0720.0880.0320.0730.0000.1100.1280.1410.0600.1010.0900.1230.0770.0900.0930.0000.1450.0860.0850.1190.0670.1200.0960.1090.1300.1390.1440.1340.0890.1380.1430.1050.1670.0950.0910.0810.0480.0590.0740.0980.1150.0630.0240.0740.0230.0780.0220.0790.0000.0510.0850.1130.0770.1080.1110.0720.0910.0310.0570.0420.0190.0750.0660.0260.0310.0000.0190.0210.1170.0680.000
Symptom_Sensations_facial_pressure_other0.0920.0430.0300.0770.0130.0580.0490.0540.0220.0450.0530.0570.0600.0610.0270.0500.0240.0610.0720.0760.0820.0550.0460.0460.0180.0390.0820.1040.1520.0700.0750.1020.0990.0700.0830.0970.0070.0000.0320.0490.0260.0490.0590.0170.1070.0940.0570.0750.0630.0450.0550.0340.0490.0370.0620.0660.0420.0500.0460.0460.0850.0300.1150.1680.1060.1370.1290.1270.0810.1460.1571.0000.0820.0320.0840.0750.0310.0000.0800.0600.0600.0590.0550.0940.0470.1010.1320.0530.0390.0820.1060.0650.0580.0200.0770.0700.0550.0000.0210.0340.0370.0330.0570.0150.0540.0240.0450.0380.0340.0910.1010.0520.0710.0590.0960.0600.0420.0490.0180.0960.0420.0620.0930.0440.0890.0490.0730.1040.1120.1470.1100.0820.0870.1040.0540.1350.0580.0700.0770.0480.0340.0590.0680.0620.0700.0000.0330.0550.0460.0000.0740.0440.0420.0650.0920.0820.0660.0790.0050.0610.0190.0240.0430.0000.0790.0240.0510.0000.0000.0000.0060.0690.0290.022
Symptom_Sensations_facial_paralysis0.1140.0560.0480.0630.0000.0450.0500.0580.0240.0400.0300.0380.0370.0400.0640.0440.0000.0550.0840.0640.0730.0800.0900.0800.0380.0260.0340.0690.0980.0440.0620.0700.0920.0620.0000.1070.0160.0340.0410.0670.0420.0950.0940.0390.0920.1120.0680.0630.0900.0440.0620.0750.0510.0620.0260.0430.0530.0500.1030.0970.0610.0420.0940.1480.2080.1150.1140.1120.0730.2690.2370.0821.0000.0430.0620.0390.0620.0390.0730.0530.0580.0460.0430.1310.1000.0750.1330.0640.0840.1070.1490.0400.0420.0720.0590.0320.0550.0170.0290.0390.0120.0600.0310.0300.0630.0230.0270.0100.0620.0920.1190.0570.0750.0900.0930.1190.0680.0670.0110.1150.0590.0470.0710.1120.1030.0890.0920.0890.0930.0910.1560.0720.1000.0920.0800.0710.0760.0760.0680.0650.0460.0890.0750.0670.0410.0070.0660.0350.0660.0300.0660.0000.0200.0500.0750.0520.0550.0830.0370.0910.0050.0670.0390.0000.0500.0310.0250.0000.0000.0150.0000.0660.0530.000
Symptom_Temp_lability0.1500.1280.1100.1200.0200.1060.0380.1130.0050.1030.1190.1130.0960.0840.0690.1000.0170.1090.1090.1030.1260.1160.0810.0950.0250.0310.0980.1380.1120.1090.0800.0990.1260.1000.0310.0880.0600.0870.0890.1180.0680.1020.0880.0640.0920.1070.1240.2090.1270.1100.1320.0910.0550.0530.0970.1060.0660.1180.0980.1040.0700.0090.1210.0830.0700.1520.1020.0960.0830.0530.0510.0320.0431.0000.1620.0000.5400.3920.1600.3740.1510.0780.1400.0850.0930.1290.1370.1160.0340.1160.1080.1070.1670.1210.1440.1450.0850.1050.0850.0760.1180.1210.0910.0730.1170.1190.1330.0200.0440.0930.1070.1040.0810.0860.1160.0770.0840.1180.0360.1140.1280.1340.1280.0220.1100.0910.1480.1290.1170.1060.0670.0610.1210.1380.0800.1200.0920.0700.0550.0410.0780.0860.0810.0990.0480.0180.0860.0000.0380.0350.0570.0430.0810.0980.1530.1300.1310.1120.0780.0690.0050.0290.1000.0650.0760.0660.0050.1020.0390.0560.0480.1520.1080.019
Symptom_Heat_intolerance0.2450.1820.1400.1620.0300.1520.0920.1310.0190.1610.1760.1730.1350.1120.1410.1450.0360.1960.1850.1970.2030.1720.1380.1600.0520.0410.1400.1720.1390.0940.1050.1500.1850.1260.0490.1140.0440.0370.1050.1400.0910.1110.1190.1060.1560.1720.1670.2010.1350.1690.1610.1590.1050.0990.1450.1600.1280.1440.1050.1340.1000.0250.1970.1740.0880.1800.1670.1780.1660.0960.0930.0840.0620.1621.0000.2150.2730.1720.1800.2910.1950.1360.1490.1550.1170.1870.1860.0950.1120.1480.1470.1570.1230.1030.1790.1310.1550.0530.0850.0380.0820.0760.1270.0950.1030.1000.1150.0000.0910.1620.1810.1190.1620.1070.1470.1040.1480.1390.0400.1990.1550.1720.1850.0780.1700.1070.1860.2360.1520.1600.1190.0820.1980.2440.1750.1490.1610.1300.1000.0440.0770.1210.1030.1610.0900.0150.0980.0000.1040.0100.1270.0590.0950.1660.1890.1620.1870.1780.1300.1500.0750.0260.1250.0530.1510.1440.0430.1020.0580.0290.0370.2280.1650.008
Symptom_Merged_temperature_other_temp_issues0.1680.1020.0820.0820.0060.1090.0660.0730.0880.1070.1150.1230.0830.0420.0720.0980.0820.1430.1180.1310.1230.1120.0640.0990.0410.0650.0960.1200.1310.0840.0740.1170.1180.0970.1080.0990.0000.0000.0400.0480.0450.0380.0660.0530.1450.1210.0990.1360.0940.0980.0690.0530.0710.0690.1930.0860.0850.0960.0710.0340.0630.0560.1390.1270.0740.2410.1210.1350.1380.0530.0730.0750.0390.0000.2151.0000.2150.1120.2770.3580.1330.1000.1490.1160.0900.1650.1330.1050.0700.1160.0940.0920.0970.0660.1290.1220.1280.0610.0630.0300.0820.1090.1110.0990.1080.0540.1130.0820.0450.1180.1400.0850.1200.0960.0810.0830.0700.1170.0820.1230.1130.1250.1080.0710.1280.1000.1320.1550.1110.0970.0530.1140.1340.1520.1180.1330.1080.0910.0630.0050.0460.0880.0670.0790.1510.0100.0650.0160.0480.0160.1250.0730.0530.1170.1370.0930.1220.1060.0720.0680.0620.0000.1010.0540.1180.0820.0400.0620.0300.0000.0120.1380.0880.000
Symptom_Elevated_temp0.1630.1550.1230.1310.0000.0860.0490.0930.0420.1280.1210.1160.1170.0670.0770.1320.0290.1410.1080.1170.1240.1220.0890.1200.0220.0310.1070.1710.1170.1070.0910.1260.1330.1020.0340.0730.0800.0820.1020.1110.0730.0790.0910.0720.1210.1360.1770.2140.1550.1120.1100.0890.0630.0710.0770.1280.0840.1460.0880.0770.0540.0530.1510.1330.0640.1650.1280.1280.1300.0750.0670.0310.0620.5400.2730.2151.0000.4610.2070.4560.2120.0930.1520.1180.1090.1900.1550.1640.0690.1280.1270.1220.1860.1490.1840.1760.1140.1530.1110.0680.1500.1500.1130.1050.1620.1290.1460.0100.0660.0930.1550.1260.0700.1090.1240.0930.0870.1270.0390.1480.1720.1690.1540.0530.1420.1240.1570.1380.1500.1310.0750.0510.1610.1700.1230.1350.1110.0890.0690.0310.0920.1170.0730.0980.0530.0320.0990.0000.0330.0290.0690.0370.0960.1300.1960.1170.1470.1260.0660.0920.0350.0380.1300.0880.0950.0750.0280.1410.0330.0670.0580.2130.1330.024
Symptom_Fever0.0990.1490.0750.0950.0140.0990.0490.0820.0400.1120.0980.0950.0750.0670.0750.1020.0420.1160.0970.1060.1270.1190.1000.1040.0410.0170.0760.1150.0790.0900.0540.0910.1150.0980.0370.0500.1140.0980.1000.1150.0670.0610.0680.0460.0800.0810.0900.1360.0750.0780.0980.0500.0590.0440.1180.1030.0400.0990.0680.0650.0500.0340.0960.0590.0320.0840.0690.0600.0800.0350.0290.0000.0390.3920.1720.1120.4611.0000.1220.3310.1430.0620.1190.0600.1160.1320.1000.1070.0220.1130.1050.0780.1650.1670.1640.1730.0650.1610.1170.0650.1130.1140.0910.0760.0850.1380.1130.0000.0290.0580.1060.0770.0670.0780.0940.0710.0590.0970.0260.1020.1520.1340.1240.0160.0880.0590.0990.0850.0770.0620.0460.0290.1090.1000.0730.0890.0590.0570.0540.0410.0660.0680.0460.0690.0310.0000.0920.0000.0390.0370.0390.0370.0480.0620.1080.0690.1270.0970.0510.0770.0000.0270.1040.0560.0500.0250.0240.0970.0200.0490.0290.1440.1340.000
Symptom_Low_temp0.2160.1130.1100.0940.0020.0960.0750.1220.0670.0980.0840.1050.0970.0450.0990.0840.0680.1520.1370.1460.1340.1430.0970.1400.0670.0520.1000.1300.1240.0880.0750.1210.1120.0910.0810.1070.0230.0390.0800.1140.0740.1000.1190.0750.1440.1340.1360.1570.1340.1120.1030.0900.0960.0950.1360.0930.0760.1190.1390.1070.0780.0370.1710.1500.1050.2690.1570.1580.1420.0700.0770.0800.0730.1600.1800.2770.2070.1221.0000.2800.1620.1890.1530.1720.1140.1420.1780.1130.0970.1620.1270.1350.1430.0950.1760.1500.1310.0600.0690.0620.0730.1030.1570.1030.1230.0930.1390.0460.1240.1380.1980.1020.1400.1320.1430.1460.1140.1430.0710.1650.1180.1380.1500.0730.1280.1490.1750.1750.1550.1220.0830.1000.2030.1770.1300.1420.1250.1330.1100.0570.0980.1240.1360.1390.1280.0640.0580.0200.0520.0000.1330.0480.0820.1390.1750.1360.1560.1630.1050.1290.0620.0550.0780.0320.1230.1130.0450.0830.0000.0690.0000.1630.1040.063
Symptom_Chills_flushing_sweats0.2230.1790.1480.1530.0330.1420.0590.1170.0420.1640.1510.1540.1390.1060.0970.1460.0530.1870.1660.1610.1660.1500.1190.1360.0520.0570.1570.1720.1720.1330.1080.1490.1590.0980.0620.1260.0430.0650.1120.1340.0800.0890.1060.0710.1780.1790.1570.3300.1570.1540.1420.1140.0900.0920.2030.1440.1000.1520.1050.0950.0830.0440.2150.1640.0920.2870.1710.1780.1790.0880.0880.0600.0530.3740.2910.3580.4560.3310.2801.0000.1810.1150.2000.1630.1190.2200.1830.1720.0860.1800.1580.1410.2150.1520.2380.2150.1700.1170.1110.0760.1470.1670.1680.1500.1690.1310.1840.0690.0750.1410.1880.1130.1420.1240.1560.1180.1170.1740.0920.1990.2200.2050.1840.0550.1520.1330.2100.1840.1830.1480.0940.1000.2070.1940.1540.1840.1470.0910.0740.0360.1000.1210.1040.1390.1220.0460.1060.0000.0700.0260.1150.0600.0770.1380.2220.1630.2040.1710.0990.0890.0670.0410.1280.0830.1230.1090.0340.1230.0440.0490.0540.1820.1530.043
Symptom_Tachycardia0.1700.1750.1770.1280.0240.1040.0570.1040.0250.1320.1370.1240.1140.0780.0940.1390.0370.1560.1380.1420.1330.1140.0790.1310.0410.0400.1000.1170.1640.0850.0890.1410.1490.1080.0430.1000.0000.0000.0550.0990.0550.0680.0960.0640.1910.2090.1780.1480.2010.1120.1290.1020.0800.0990.1130.1420.0880.1420.1030.0810.0840.0150.1630.1700.1210.1660.1990.1770.1280.1050.1060.0600.0580.1510.1950.1330.2120.1430.1620.1811.0000.2060.4320.2090.1220.2260.1810.2130.0790.1300.1450.1400.1590.0980.1660.1630.1580.1090.0750.0610.1990.2280.0850.0480.2340.0930.1290.0060.0450.1860.1960.1520.1080.1080.1340.0740.0850.1160.0220.2050.1330.1440.1190.0830.1580.1420.1940.1650.1380.1180.0740.0610.1850.1870.1410.1470.1310.1080.0830.0490.1010.1100.0880.1200.0830.0150.1260.0220.0760.0240.1020.0670.1140.1320.1740.1270.1130.1380.0730.0870.0130.0530.1770.0720.1240.0750.0390.1070.0150.1380.0411.0000.1520.057
Symptom_Bradycardia0.1590.0820.0910.0670.0290.0720.0500.0970.0340.0810.0870.1030.0690.0420.0890.0720.0220.1210.1200.1300.1210.1090.0980.1250.0460.0200.0800.0860.1260.0810.0670.0880.1070.0830.0480.1220.0000.0000.0250.0980.0170.0730.0740.0690.1380.1340.0990.0760.1450.0750.0880.0560.0570.0910.0820.0830.0630.0940.0980.0840.0740.0280.1340.1170.1150.1440.1290.1500.0940.0850.1080.0590.0460.0780.1360.1000.0930.0620.1890.1150.2061.0000.1410.1770.1040.1190.1500.1380.0870.1340.1230.1110.0810.0730.1050.1350.1020.0240.0350.0570.1020.1250.0700.0260.1580.0850.1040.0300.0600.1470.1660.0960.0880.0770.1380.1000.0790.1080.0250.1200.0800.0890.0900.0980.1440.1390.1030.1280.1040.1150.0700.0750.1520.1350.1200.1380.1130.1190.0770.0340.0630.1110.0910.0980.0770.0220.0780.0320.0470.0100.0570.0470.0810.1050.1320.0750.0980.1020.0640.0730.0250.0000.0850.0280.0930.0840.0320.0390.0000.0550.0000.2580.0810.008
Symptom_Heart_palpitations0.1590.1460.1240.1070.0160.1150.0530.0760.0390.1500.1340.1340.1020.0830.0910.1570.0480.1600.1270.1530.1470.1270.0880.1050.0470.0320.1250.1440.1680.1080.1090.1320.1310.0960.0520.0850.0000.0100.0690.0990.0630.0550.0920.0540.2120.1790.1430.1410.2050.1270.1270.1020.0710.0680.1890.1250.0860.1290.0760.0730.0790.0320.1740.1410.1170.1590.2010.1710.1220.0960.0800.0550.0430.1400.1490.1490.1520.1190.1530.2000.4320.1411.0000.1820.1040.2200.1680.2330.0580.1150.1250.1010.1690.0590.1950.1450.1460.0860.0510.0620.2120.2800.0900.0620.2400.0790.1590.0480.0510.1850.1750.1320.0980.0910.1140.0850.0710.1080.0610.1670.1310.1370.1150.0860.1590.1250.1810.1720.1380.1330.0630.1030.1620.1890.1440.1650.1290.0890.0660.0330.0620.1060.0900.1040.1220.0000.0950.0000.0600.0360.0890.0660.1100.1280.1670.1200.1190.1250.0830.0740.0290.0370.1640.0770.1120.0640.0350.1200.0310.1290.0860.4330.1100.062
Symptom_Bulging_veins0.2580.0640.0740.0990.0230.0690.0740.1050.0250.0700.0910.0830.0750.0430.0790.0790.0340.1430.1360.1460.1270.1280.0990.1470.0830.0300.0900.1370.1430.0740.0640.1280.0910.0970.0560.1220.0000.0000.0490.1110.0450.1130.1060.0760.2250.2180.1120.1600.1840.0980.1280.1130.0760.1180.1080.1010.0730.0750.1300.1190.1060.0000.2350.2380.1710.1920.2180.2140.1510.1640.1400.0940.1310.0850.1550.1160.1180.0600.1720.1630.2090.1770.1821.0000.1170.1250.2260.1380.1290.1520.1740.1190.1130.0640.1380.1380.1320.0560.0610.0780.0860.1510.1040.0720.1890.0860.1340.0240.0780.1760.2280.1540.1560.1740.2670.1920.1780.1990.0710.2280.1170.1440.1680.1610.1990.1430.2250.1660.1910.1580.1380.1230.1920.1880.1860.1800.1550.1040.0980.0520.1530.1540.1280.1280.1300.0580.1540.0510.0870.0460.1190.0640.0990.1050.1540.1040.1530.1540.0890.1350.0610.0720.0730.0000.1190.1520.0360.0700.0000.0820.0000.2320.0530.041
Symptom_Fainting0.1550.1360.0920.1240.0250.1050.0730.1210.0340.1020.1190.1160.0990.0430.1000.0900.0320.1070.1020.1180.1380.1290.1120.0950.0650.0430.0940.1200.1200.0890.0560.0820.1210.1080.0390.1010.0090.0320.0590.0610.0440.0740.0770.0550.1210.1410.0860.0920.1090.0670.1120.1050.0610.0680.0500.0860.0530.0860.1280.1170.1140.0490.1030.1280.1300.1100.1270.1490.1250.0830.0760.0470.1000.0930.1170.0900.1090.1160.1140.1190.1220.1040.1040.1171.0000.1830.1400.1240.0880.1900.1740.0930.0900.1430.1400.1220.0780.0410.0540.0820.0720.0830.0690.0230.0970.0840.0610.0000.0710.1060.1320.0600.0900.1000.1110.1110.1010.0940.0190.1330.0770.0940.1210.0760.1110.0830.1120.1090.1060.0810.1290.0520.1440.1570.0790.0980.0810.1250.1110.0700.0620.0890.0730.0960.0440.0260.0650.0110.1010.0000.0580.0230.0480.0880.0940.0540.0920.0880.0640.0810.0480.0310.0780.0340.0790.0830.0610.0540.0150.0570.0000.1280.1160.036
Symptom_Dizziness_vertigo0.2010.2280.1500.2140.0230.1960.0710.1370.0530.2520.2220.2200.1680.1080.1320.2240.0520.2390.2050.1920.2080.1770.1160.1550.0560.0550.1700.2120.2140.1540.1420.1760.1880.1540.0800.1170.0390.0410.1030.1190.0860.0770.0940.0730.1950.2040.1740.1710.1550.1400.1280.1160.0990.0770.1600.1490.0870.1580.1240.1020.0650.0470.1920.2060.1280.1930.1990.1830.2390.1010.0930.1010.0750.1290.1870.1650.1900.1320.1420.2200.2260.1190.2200.1250.1831.0000.2500.2630.0780.2520.2120.1730.2050.1320.2870.2050.1650.1330.0780.0480.1780.1580.1560.1160.1550.1120.1640.0000.1100.2180.2490.1150.1330.1290.1250.1140.1010.1350.0690.1960.2220.2070.1720.0450.1850.1240.1950.2380.1850.1720.0990.1290.2400.2540.1690.1930.1780.1190.0880.0470.0920.1160.0980.1600.1310.0240.0980.0150.0900.0380.1120.0390.0860.1420.2250.1520.1810.1820.0950.1130.0610.0460.1850.1260.1300.0880.0660.1130.0130.0410.1140.2270.2040.000
Symptom_Neuralgia0.2560.1730.1340.1530.0260.1400.0980.1350.0400.1440.1410.1360.1350.0830.1420.1230.0250.1950.1720.1800.1870.1770.1340.1760.0230.0470.1650.2350.2020.1150.1170.2040.1760.1490.0910.1780.0370.0530.1010.1650.0800.1250.1050.0800.2430.2470.1610.1720.1760.1190.1560.1970.1000.1190.1010.1480.0650.1520.1280.1430.1150.0310.3630.3310.2210.2370.3480.3700.2350.1880.1730.1320.1330.1370.1860.1330.1550.1000.1780.1830.1810.1500.1680.2260.1400.2501.0000.1880.1140.2020.2200.1650.1660.1220.2210.1470.1970.0840.0890.0740.0940.1410.1480.1000.1800.1160.1350.0310.1330.1940.2500.1220.1840.1580.1950.1470.1560.1800.0560.3330.2770.3090.3310.0840.1920.1270.1780.2150.2170.1830.1510.1330.2390.2320.1790.2280.1720.1310.1050.0550.1160.1400.1130.1670.1190.0380.0880.0560.1020.0380.1500.0430.0820.1450.2460.1680.2270.1930.1250.1610.0720.0930.1140.0600.1480.1250.0230.0670.0000.0610.0000.1910.1520.000
Symptom_Gasping_air_normal_oxygen0.1600.1700.1740.0840.0140.0960.0460.0910.0510.1370.1320.1320.0900.0600.0880.1250.0230.1330.1180.1270.1270.1140.0910.1060.0470.0330.0840.1110.0910.0810.0720.0890.1050.0980.0340.0760.0030.0240.0680.0740.0370.0530.0650.0430.1310.1490.1090.1020.3160.0810.1180.0770.0440.0830.1410.1010.0470.0830.0890.0900.0510.0250.1390.1260.1160.1050.1240.1350.1650.0730.0670.0530.0640.1160.0950.1050.1640.1070.1130.1720.2130.1380.2330.1380.1240.2630.1881.0000.1130.1980.1770.0810.1410.0740.1590.1330.1510.1610.0940.0910.4680.3280.0860.0520.2840.1880.1470.0410.0510.1150.1230.1010.0680.0790.1180.0870.0890.1050.0430.1510.1600.1730.1170.1040.1770.1490.1600.1170.1040.1030.0770.0610.1390.1250.0990.1310.0950.0830.0480.0380.0650.0650.0790.0980.0560.0150.0870.0000.0510.0480.0820.0460.0740.1120.1410.0800.1150.1240.0850.0750.0270.0370.1860.0760.0870.0720.0260.0770.0320.1120.0390.2150.1460.070
Symptom_New_anaphylaxis0.5510.0410.0500.0700.0000.0340.0710.0740.0100.0470.0500.0430.0390.0310.0710.0260.0000.0790.0880.0850.0720.0800.0540.0830.0220.0170.0460.0790.0650.0460.0270.0410.0620.0500.0200.0750.0080.0000.0270.0510.0140.0560.0680.0630.0830.0990.0660.0770.1220.0520.0320.0470.0430.1000.0640.0780.0410.0450.1090.0920.0570.0320.1040.1060.0930.0990.0660.0890.0840.0930.0670.0390.0840.0340.1120.0700.0690.0220.0970.0860.0790.0870.0580.1290.0880.0780.1140.1131.0000.1510.1160.1160.0590.0620.0850.0630.0990.0380.0400.0360.0690.0610.0750.0660.1070.0550.0600.0000.0750.0870.0910.0750.0800.0920.1100.0700.1190.1190.0110.1210.0510.0580.0910.0800.1390.0980.0820.0910.0850.0920.0890.0770.0760.1040.0910.0910.0610.0890.0910.0500.0790.0880.1000.0680.0690.0240.0650.0550.0640.0170.0850.0470.0470.0700.1000.0710.0990.1020.1670.0670.0680.0330.0380.0000.1830.3450.0420.0350.0250.0420.0000.0950.0360.032
Symptom_Acute_confusion0.2380.2010.1300.2460.0370.2400.1920.2520.0530.2160.2500.2440.2070.1550.2270.1830.0520.2390.2690.2430.2820.2680.1890.2240.1140.0760.1110.1450.2100.1250.0790.1300.1800.1410.0730.1570.0740.0680.1090.1370.1050.1390.0930.1070.1650.1880.1330.1560.1590.1340.1770.1120.1280.1180.1300.1330.0860.1120.2220.2090.1350.0940.1810.1870.1590.1740.1470.1800.2120.1250.1160.0820.1070.1160.1480.1160.1280.1130.1620.1800.1300.1340.1150.1520.1900.2520.2020.1980.1511.0000.3890.1370.1350.1360.1920.1630.1350.0880.1020.0750.1120.1200.1510.1140.1570.1550.1060.0000.1390.1590.2250.1250.1520.1350.1640.1510.1380.1510.0470.2250.1500.1670.1900.0660.1660.1260.1830.1900.1360.1430.1580.1390.2220.2380.1180.1710.1680.1730.1630.0810.0860.1290.0950.2010.0890.0490.1010.0660.1460.0000.1210.0080.1150.1140.1640.1210.1630.1640.1150.1320.0760.0330.0950.0530.1200.1260.0880.0480.0210.0820.0410.1360.1750.039
Symptom_Slurring_words0.2090.1960.1200.2390.0290.2010.1620.2170.0550.1990.2040.2100.2070.1440.2320.1650.0530.3330.3520.2960.3070.3730.3360.2630.1280.1110.1020.1500.1770.0940.0640.1190.1630.1040.0550.1480.0580.0680.1000.1400.0990.1330.1150.1060.1930.2100.1140.1280.1300.1290.1500.1180.1030.1310.1010.1290.0880.1080.1810.1830.1340.0600.1980.2130.1840.1760.1820.1870.2070.1440.1460.1060.1490.1080.1470.0940.1270.1050.1270.1580.1450.1230.1250.1740.1740.2120.2200.1770.1160.3891.0000.1120.0990.1050.1440.1040.1150.0640.0940.0870.1160.1080.1150.0950.1310.1530.0970.0060.1450.1720.2430.1010.1520.1680.1620.1550.1310.1480.0390.2340.1370.1670.1800.0540.1590.1660.1620.1990.1520.1340.1730.1100.2380.2260.1310.1750.1550.2090.1340.0940.0790.1030.1100.1780.1090.0210.0710.0690.1370.0080.1090.0360.0820.1170.1590.1140.1740.1760.0920.1520.0550.0540.0990.0490.1010.1130.0610.0460.0330.0740.0000.1480.1760.011
Symptom_Constipation0.2190.1300.0830.1310.0040.1150.0610.1010.0240.1070.1120.1250.0840.0910.0810.0930.0280.1330.1130.1310.1280.1170.0820.1150.0250.0630.1090.1520.1340.0620.1160.1200.1190.1140.0470.0870.0000.0000.0590.0800.0620.0690.0950.0610.1180.1500.1420.1330.0890.1110.1170.0990.0930.0730.0880.1260.0690.1280.0850.0920.0770.0460.1600.1430.0990.1500.1390.1220.1310.0750.0830.0650.0400.1070.1570.0920.1220.0780.1350.1410.1400.1110.1010.1190.0930.1730.1650.0810.1160.1370.1121.0000.1740.1160.2030.1730.2080.0490.1040.0460.0740.0760.1330.1120.0860.0720.1010.0000.1090.1340.1810.1140.1450.1140.1340.0800.1080.1320.0600.1680.1050.1300.1320.0820.1570.1120.1440.1550.1440.1230.1050.0910.1650.1790.1580.1440.1240.1120.0700.0420.0620.0970.0880.1120.0820.0290.0660.0670.0920.0180.1310.0500.0800.2100.2560.1340.1680.1540.0990.1130.0510.0520.0740.0390.1430.1370.0450.0620.0410.0520.0000.1540.1220.028
Symptom_Diarrhea0.1770.1140.0720.0710.0190.0780.0260.0630.0490.0960.0890.1040.0720.0580.0750.1040.0170.1120.0960.1140.1170.1020.0640.0960.0250.0000.1060.1490.1110.0950.0850.1010.1020.1060.0370.0840.0440.0600.1010.1220.0670.0790.0910.0640.1340.1440.1280.1590.1250.1210.1400.0860.0840.0630.1170.1150.0770.1170.0760.0640.0590.0350.1740.1330.0790.1420.1480.1260.1070.0630.0680.0580.0420.1670.1230.0970.1860.1650.1430.2150.1590.0810.1690.1130.0900.2050.1660.1410.0590.1350.0990.1741.0000.2470.3750.3290.2430.1230.1090.0500.1270.1390.1450.1270.1500.0880.1740.0300.0420.1350.1430.1490.1330.1220.1450.0890.1020.1430.0600.1620.1610.1420.1270.0560.1580.1020.1610.1130.1480.1120.0600.0600.1520.1570.1360.1400.1250.0750.0510.0280.1130.1300.1000.1170.1000.0000.1130.0470.0640.0400.1030.0490.1130.1610.3170.3290.1680.1460.0850.0920.0470.0310.0820.0550.0820.0960.0550.0870.0180.0790.0590.1630.1040.041
Symptom_Vomiting0.1480.1500.0750.0840.0230.0810.0470.0880.0380.0860.0810.0710.0780.0540.0810.0840.0170.0930.0870.1040.0950.0880.0800.0880.0210.0500.0710.1050.0660.0420.0520.0700.0880.1140.0260.0230.0760.0660.0890.1130.0780.1030.0790.0810.0880.1170.0680.0960.0940.0820.0930.0880.0730.0620.0530.0700.0270.0610.0970.0770.0760.0220.0910.1080.0790.0900.0930.1190.0970.0430.0460.0200.0720.1210.1030.0660.1490.1670.0950.1520.0980.0730.0590.0640.1430.1320.1220.0740.0620.1360.1050.1160.2471.0000.3290.2220.1460.1080.0990.0460.0710.0750.1070.0970.0770.1090.1020.0000.0710.0720.1070.0810.1040.1020.0850.0850.0770.1260.0460.1280.1060.1340.1410.0040.0940.0590.1140.0950.0990.1000.0870.0380.1200.1240.0940.1110.0760.0510.0460.0260.0500.0460.0870.0780.0370.0090.0900.0000.0640.0180.0930.0210.0620.1280.1830.1320.1410.1020.0610.1030.0480.0240.0660.0300.0660.0950.0640.1020.0120.0490.0000.1020.1420.033
Symptom_Nausea0.2160.1930.1360.1530.0130.1360.0640.1010.0400.1640.1550.1580.1270.0940.0920.1590.0480.1710.1480.1820.1800.1430.1020.1500.0450.0620.1700.1860.1810.1620.1420.1790.1690.1680.1080.1060.0310.0420.1300.1330.0990.1010.1100.0900.1560.1720.1540.1710.1450.1420.1490.1190.1010.0700.1470.1500.1080.1450.1120.1050.0730.0400.1890.1850.1130.1820.1570.1590.1790.0940.0810.0770.0590.1440.1790.1290.1840.1640.1760.2380.1660.1050.1950.1380.1400.2870.2210.1590.0850.1920.1440.2030.3750.3291.0000.3720.2660.1100.0970.0410.1400.1470.1560.1280.1740.1230.1880.0240.1020.1780.1950.1520.1510.1300.1680.1170.1120.1740.0770.1950.2340.1980.1760.0470.1740.1240.1940.2020.2100.1720.0950.1170.2020.2320.1740.2040.1520.1070.0840.0440.1150.1180.1180.1500.1210.0000.1160.0080.0660.0250.1460.0750.1130.2200.3510.2290.1830.1940.1010.1200.0720.0440.1260.0790.1180.1050.0460.1600.0230.0880.0540.1760.1700.063
Symptom_Loss_of_appetite0.1710.1270.0600.0830.0000.0890.0670.0680.0400.1060.1190.1150.0910.0750.0960.1150.0560.1110.1150.1270.1340.0900.0780.1030.0410.0120.1080.1200.1230.0870.0900.1210.1080.1170.0810.0940.1150.1360.1480.1220.1120.0910.0960.0830.1230.1540.1450.1480.1280.1130.1310.0560.0700.0460.1420.1340.0980.1370.0960.0790.0540.0230.1310.1320.0660.1510.1230.1150.1330.0670.0800.0700.0320.1450.1310.1220.1760.1730.1500.2150.1630.1350.1450.1380.1220.2050.1470.1330.0630.1630.1040.1730.3290.2220.3721.0000.1940.1170.1080.0600.1260.1470.1380.1360.1650.1000.1670.0440.0450.1220.1430.1240.1320.0970.1320.0920.0910.1280.0720.1520.1550.1340.1410.0540.1660.0940.1600.1360.1300.1130.0640.0780.1540.1570.1370.1250.0860.0850.0680.0260.0770.1130.0880.0890.0950.0000.0830.0250.0640.0320.1200.0580.1070.2990.2390.1720.1230.1190.0850.0890.0270.0000.1070.0560.0900.0980.0460.1120.0150.0860.0500.1690.1160.030
Symptom_Acid_reflux0.2040.0990.0640.0640.0210.0770.0460.0740.0440.0700.0710.0890.0550.0680.0690.0860.0230.1070.1000.1130.1040.0950.0770.0950.0170.0460.1150.1570.1250.0530.1090.1460.0930.1080.0480.1050.0240.0240.0870.1220.0680.1070.1140.0680.1540.1600.1380.1640.1490.1170.1440.1200.0820.1050.1280.1100.0810.1300.0640.0860.0670.0330.1770.1590.0880.1690.1440.1390.0950.0970.0760.0550.0550.0850.1550.1280.1140.0650.1310.1700.1580.1020.1460.1320.0780.1650.1970.1510.0990.1350.1150.2080.2430.1460.2660.1941.0000.0840.0860.0570.1200.1360.1290.1070.1830.1060.1650.0340.0920.1560.1500.1200.1530.0920.1480.0970.1250.1350.0340.1800.1140.1280.1290.0780.2420.1280.1480.1630.1520.1480.0760.1050.1480.1420.1580.1520.1550.0730.0530.0540.0930.1110.0820.1400.0920.0260.0600.0380.0750.0410.1300.0460.0760.1880.2990.2130.1360.1590.1050.1140.0700.0340.0960.0390.0990.1270.0180.0550.0280.0420.0400.1620.0930.000
Symptom_Dry_cough0.0840.1380.0620.0580.0000.0990.0490.0520.0360.1050.0930.0940.0790.0330.0700.0870.0260.1160.0810.0930.1040.0870.0680.0680.0330.0000.0690.0880.0440.0640.0450.0510.0730.0690.0000.0000.0730.0770.0850.0820.0530.0360.0170.0000.0680.0250.0710.0780.1200.0300.0510.0530.0180.0210.0780.0660.0450.0800.0270.0260.0330.0000.0730.0660.0370.0660.0700.0550.0780.0330.0170.0000.0170.1050.0530.0610.1530.1610.0600.1170.1090.0240.0860.0560.0410.1330.0840.1610.0380.0880.0640.0490.1230.1080.1100.1170.0841.0000.1770.0780.2730.2040.1700.1250.1700.1680.2230.0140.0500.0580.0760.0630.0570.0730.0690.0710.0760.0660.0040.0960.1310.1200.0900.0090.0890.0920.0780.0640.0830.0590.0240.0170.1050.0850.0900.0730.0880.0380.0110.0000.0480.0540.0660.0650.0590.0000.0630.0000.0310.0200.0360.0340.0580.0520.0720.0590.1140.0970.0450.0580.0130.0200.0960.0900.0370.0140.0660.1140.0000.0770.0440.1090.1150.000
Symptom_Cough_with_mucus0.1110.0870.0510.0370.0020.0820.0660.0730.0370.0700.0740.0780.0680.0660.0670.0610.0080.0970.0790.0740.1110.0960.0770.0560.0520.0310.0550.0880.0210.0340.0300.0770.0560.0480.0250.0180.0680.0720.0760.0810.0620.0560.0450.0430.0500.0540.0810.0770.0910.0600.0710.0600.0550.0520.0780.0700.0370.0690.0480.0580.0500.0270.0580.0580.0260.0740.0670.0600.0910.0470.0510.0210.0290.0850.0850.0630.1110.1170.0690.1110.0750.0350.0510.0610.0540.0780.0890.0940.0400.1020.0940.1040.1090.0990.0970.1080.0860.1771.0000.1760.1390.1230.2160.2300.1260.2110.1440.0320.0760.0590.0910.0460.0920.0740.1050.0700.0640.0770.0450.0940.1110.1110.1120.0220.1060.0880.0980.0620.0810.0750.0410.0700.1000.0970.0980.0660.0960.0470.0460.0120.0410.0810.0730.0700.0690.0140.0370.0250.0650.0200.0740.0270.0460.0550.0830.0910.1120.1180.0830.0990.0420.0110.0250.0380.0590.0340.0430.0310.0120.0000.0000.0750.0820.000
Symptom_Coughing_up_blood0.0970.0550.0000.0190.0000.0460.0680.0700.0250.0440.0560.0480.0420.0220.0490.0170.0490.0580.0450.0740.0720.0640.0820.0550.0750.0190.0170.0590.0410.0270.0200.0380.0460.0170.0440.0350.0120.0000.0080.0140.0220.0580.0480.0500.0550.0830.0510.0760.1050.0440.0770.0590.0410.0710.0480.0290.0340.0210.0770.0680.0750.0590.0690.0660.0460.0530.0460.0470.0480.0520.0630.0340.0390.0760.0380.0300.0680.0650.0620.0760.0610.0570.0620.0780.0820.0480.0740.0910.0360.0750.0870.0460.0500.0460.0410.0600.0570.0780.1761.0000.0690.0790.0780.0700.0810.1380.0640.0330.0680.0520.0660.0390.0610.0480.1110.0990.0480.0720.0270.0660.0270.0570.0650.0350.0800.0580.0750.0420.0820.0770.0750.0470.0750.0480.0340.0720.0670.0630.0440.0600.0390.0760.0760.0480.0350.0000.0460.0480.0260.0120.0410.0000.0520.0280.0440.0450.0560.0450.0520.0610.0100.0270.0340.0000.0540.0490.0330.0000.0000.0470.0000.0690.0610.031
Symptom_Shortness_of_breath0.1270.1900.1940.0780.0240.1030.0190.0670.0360.1420.1410.1290.0940.0600.0580.1360.0350.1530.1260.1190.1240.1000.0690.0880.0440.0290.0980.1030.0750.0680.0730.0830.1120.0960.0320.0260.0000.0480.0570.0560.0190.0160.0490.0330.0990.0870.1050.0890.2460.1000.0970.0730.0540.0530.1220.0980.0650.0880.0600.0550.0190.0170.0830.0820.0620.0870.0800.0850.1050.0420.0290.0370.0120.1180.0820.0820.1500.1130.0730.1470.1990.1020.2120.0860.0720.1780.0940.4680.0690.1120.1160.0740.1270.0710.1400.1260.1200.2730.1390.0691.0000.4040.1120.0840.2780.1890.1750.0120.0390.0920.0970.0810.0440.0440.0920.0530.0600.0950.0310.1100.1480.1300.0940.0790.1490.1360.1420.1000.1000.0930.0560.0410.1190.1220.0910.1080.0890.0520.0330.0220.0460.0650.0570.0870.0580.0000.0720.0000.0320.0240.0640.0360.0740.0900.1000.0540.1150.0990.0790.0640.0180.0000.2130.1100.0480.0480.0570.1030.0210.1080.0710.2030.1580.082
Symptom_Tightness_of_chest0.1480.1310.1400.0710.0390.0620.0220.0590.0030.1210.1020.1040.0900.0480.0690.1300.0320.1020.0870.1070.0950.0860.0580.0720.0320.0000.1130.1460.1250.0970.0870.1010.1190.1120.0290.1010.0140.0330.0420.0830.0320.0530.0720.0390.1520.1290.1020.1150.2510.0920.1000.0720.0600.0570.1140.0930.0580.0960.0590.0460.0420.0210.1140.1100.0930.1020.1350.1080.1190.0760.0620.0330.0600.1210.0760.1090.1500.1140.1030.1670.2280.1250.2800.1510.0830.1580.1410.3280.0610.1200.1080.0760.1390.0750.1470.1470.1360.2040.1230.0790.4041.0000.1220.0940.4330.1800.2170.0360.0400.1080.1130.1120.0590.0600.0960.0590.0610.1190.0330.1400.1800.1320.1340.0800.1840.1510.1490.1100.1290.0970.0570.0480.1320.1370.1010.1420.1020.0680.0470.0270.0610.0810.0780.0850.0410.0000.0890.0000.0390.0330.0560.0420.0960.0870.1660.0630.0950.0870.0800.0590.0000.0390.1800.0840.0770.0540.0180.1160.0210.1670.0810.2320.0990.124
Symptom_Sneezing0.1800.1110.0510.0860.0350.1300.0590.0720.0440.1040.0950.1100.0800.1140.0700.0950.0300.1290.1120.1050.1150.1130.0830.0870.0500.0250.0970.1530.1330.1020.1210.1180.1120.0950.0190.0780.0850.0860.1050.1340.0940.1040.0970.0740.0970.0980.0950.1390.0930.1250.1170.0980.0930.0720.1110.1030.0830.0870.0800.1040.0900.0210.1270.1050.0600.1350.1220.1070.1300.0630.0780.0570.0310.0910.1270.1110.1130.0910.1570.1680.0850.0700.0900.1040.0690.1560.1480.0860.0750.1510.1150.1330.1450.1070.1560.1380.1290.1700.2160.0780.1120.1221.0000.4880.1400.1830.2560.0360.1180.1320.1350.0870.1310.1210.1210.0960.1360.1340.0310.1260.1430.1550.1590.0400.1470.1110.1260.1070.1810.1680.0880.1000.1450.1460.1330.1410.1320.0900.0850.0450.0970.1240.1070.1280.0950.0200.0740.0280.0750.0000.0940.0340.0630.1240.1710.1240.1660.1940.1010.1160.0660.0140.0490.0570.0710.0800.0520.0860.0440.0200.0000.0850.0990.000
Symptom_Runny_nose0.1390.1060.0410.0730.0240.1090.0510.0640.0410.0900.0820.1130.0790.0950.0730.0770.0320.1010.1030.0890.1110.0960.0770.0810.0470.0380.0970.1370.0960.0810.1010.0930.1040.0710.0370.0500.0950.0910.0970.1070.0830.0790.0750.0570.0490.0820.0720.1110.0660.0880.0840.0770.0550.0550.1110.0840.0870.0840.0620.0800.0370.0280.0870.0840.0260.1030.0910.0720.0830.0490.0720.0150.0300.0730.0950.0990.1050.0760.1030.1500.0480.0260.0620.0720.0230.1160.1000.0520.0660.1140.0950.1120.1270.0970.1280.1360.1070.1250.2300.0700.0840.0940.4881.0000.1090.1670.2610.0190.0910.0950.1050.0710.1230.0830.0830.0700.0890.1090.0260.1170.1180.1250.1120.0240.1050.0680.0860.0960.1190.1310.0490.0750.1280.1340.0770.1140.1040.0630.0530.0330.0560.1090.0530.1030.0890.0240.0380.0280.0680.0000.0930.0340.0560.0910.1090.0880.1180.1320.0850.0740.0550.0330.0390.0480.0680.0490.0550.0600.0260.0000.0000.0540.1020.000
Symptom_Pain_burning_chest0.1790.1080.1540.0810.0210.0550.0470.0680.0250.0870.0840.1000.0790.0410.0770.0980.0170.1090.1020.1230.1220.1150.0730.1030.0620.0350.0920.1210.1220.0860.0880.1070.1360.1020.0310.1190.0000.0000.0550.0840.0390.0740.0700.0330.1980.1680.1020.1220.2250.0850.1180.0690.0590.0650.1030.0960.0850.0940.0770.0710.0660.0320.1690.1410.1150.1200.1910.1400.1300.1170.0880.0540.0630.1170.1030.1080.1620.0850.1230.1690.2340.1580.2400.1890.0970.1550.1800.2840.1070.1570.1310.0860.1500.0770.1740.1650.1830.1700.1260.0810.2780.4330.1400.1091.0000.1590.2200.0120.0600.1550.1430.1470.0790.0910.1360.1120.0900.1430.0370.1560.1680.1480.1530.0980.2020.1630.1730.1410.1470.1150.0750.0790.1530.1410.1190.1520.1040.0840.0680.0320.0970.0920.0980.1110.0640.0180.0930.0240.0510.0190.0910.0680.1150.1090.2180.1000.1180.1120.0750.0770.0190.0450.1470.0400.1000.0760.0230.0990.0260.1770.0270.2490.0880.137
Symptom_Rattling_breath0.1530.1460.0830.0730.0160.1100.0970.0860.0380.0980.1030.1170.0730.0760.1320.0890.0490.1140.1000.0950.1140.1250.1040.0990.0840.0110.0940.1100.0830.0580.0530.0820.0830.0900.0000.0590.0670.0840.1080.1080.0880.0960.0490.0510.0970.1070.0940.0870.1710.1050.1010.1110.0850.1110.0890.0740.0420.0670.0810.1210.0930.0530.0960.0990.0520.1310.0920.0930.0930.0450.0320.0240.0230.1190.1000.0540.1290.1380.0930.1310.0930.0850.0790.0860.0840.1120.1160.1880.0550.1550.1530.0720.0880.1090.1230.1000.1060.1680.2110.1380.1890.1800.1830.1670.1591.0000.1570.0110.0830.0840.1010.0720.1400.0790.1180.1000.1060.1080.0000.1730.1340.1550.1680.0330.1300.1470.1040.1000.0910.1080.0780.0540.1290.1090.0770.1040.1160.0950.0700.0430.0730.0850.0950.1230.0490.0260.0250.0220.0890.0340.0840.0200.0620.0570.1020.0930.1430.1540.1060.1110.0290.0320.0800.0290.0680.0420.0580.0610.0080.0150.0000.0950.1290.000
Symptom_Sore_throat0.1630.1150.0890.0800.0150.0750.0360.0550.0270.0960.0920.0940.0670.0640.0580.1160.0350.1390.1220.1240.1270.0970.0770.1090.0600.0170.1280.1680.1360.1410.1280.1020.1340.1230.0400.0820.0370.0440.1020.1060.0730.0730.0800.0440.1000.0860.1210.1480.1450.1000.1220.0730.0490.0470.1280.1050.0760.1150.0450.0470.0530.0220.1090.0980.0670.1250.1120.1010.1020.0780.0730.0450.0270.1330.1150.1130.1460.1130.1390.1840.1290.1040.1590.1340.0610.1640.1350.1470.0600.1060.0970.1010.1740.1020.1880.1670.1650.2230.1440.0640.1750.2170.2560.2610.2200.1571.0000.0190.0500.1310.1110.1330.0960.1010.1210.0710.0720.1390.0540.1420.1960.1580.1230.0480.2150.1460.1450.1470.1970.1550.0620.0850.1240.1640.1360.1510.1090.0550.0400.0060.1060.1230.0790.1030.1040.0260.0870.0000.0440.0130.0930.0610.0910.0780.1850.0950.1290.1370.0770.0890.0330.0310.1000.0720.0870.0780.0510.1190.0110.1230.0550.1350.0880.075
Symptom_Respiratory_other0.0350.0190.0310.0000.0000.0000.0070.0000.0960.0000.0000.0130.0000.0150.0000.0000.1050.0170.0000.0280.0200.0000.0000.0300.0110.0690.0110.0030.0240.0270.0000.0000.0000.0110.1270.0000.0000.0000.0000.0000.0050.0000.0000.0000.0240.0000.0240.0080.0000.0000.0220.0080.0210.0000.0700.0000.0000.0240.0000.0000.0150.0340.0230.0270.0060.0220.0320.0380.0190.0240.0000.0380.0100.0200.0000.0820.0100.0000.0460.0690.0060.0300.0480.0240.0000.0000.0310.0410.0000.0000.0060.0000.0300.0000.0240.0440.0340.0140.0320.0330.0120.0360.0360.0190.0120.0110.0191.0000.0180.0000.0110.0090.0350.0170.0360.0390.0000.0320.1210.0000.0140.0240.0290.0270.0560.0820.0340.0140.0200.0410.0000.0550.0000.0240.0230.0340.0310.0280.0160.0080.0180.0210.0320.0170.1010.0000.0000.0000.0000.0000.0640.0560.0000.0000.0070.0180.0090.0150.0260.0530.0670.0090.0080.0000.0230.0160.0070.0120.0140.0120.0000.0070.0110.000
Symptom_Hearing_loss0.1590.1040.0580.1300.0350.1140.1090.1290.0290.0830.0810.0970.0650.0600.1020.0530.0140.1190.1100.0980.1230.1180.1200.0860.0420.0400.0760.0830.1060.0630.0610.0800.0960.0770.0240.0870.0750.0800.0880.1030.1070.1090.0810.0910.0770.0900.0830.1050.0910.0770.0860.1000.0960.0760.0380.0580.0720.0600.0950.1080.1040.0650.1130.1330.0870.1100.0800.1110.1070.0720.1100.0340.0620.0440.0910.0450.0660.0290.1240.0750.0450.0600.0510.0780.0710.1100.1330.0510.0750.1390.1450.1090.0420.0710.1020.0450.0920.0500.0760.0680.0390.0400.1180.0910.0600.0830.0500.0181.0000.2170.1700.0310.1250.1190.1220.1050.1030.0990.0120.1360.0660.1330.1400.0600.1050.1050.0980.1700.2350.2500.2130.2440.1400.1380.0950.0910.1320.1130.0720.0570.0420.0790.0900.1330.0650.0380.0000.0370.0670.0240.0860.0080.0180.0870.1020.0760.1280.1480.0810.1400.0810.0600.0180.0000.0900.0840.0770.0160.0000.0570.0100.0460.0950.080
Symptom_Tinnitus0.1990.1370.0940.1630.0160.1330.0810.1120.0310.1350.1370.1540.1150.0660.1160.1350.0380.1740.1620.1730.1690.1650.1220.1380.0590.0480.1530.1650.2200.1410.1260.1550.1900.1560.0580.1400.0000.0170.0640.1130.0730.1020.0890.0570.2050.1890.1450.1460.1310.1590.1580.1200.0930.0910.1500.1140.0740.1370.1060.1320.0970.0570.2140.1800.1350.1980.1940.1940.1350.1130.1280.0910.0920.0930.1620.1180.0930.0580.1380.1410.1860.1470.1850.1760.1060.2180.1940.1150.0870.1590.1720.1340.1350.0720.1780.1220.1560.0580.0590.0520.0920.1080.1320.0950.1550.0840.1310.0000.2171.0000.2420.0980.1550.1130.1670.1050.1090.1300.0510.2010.1300.1580.1440.1000.1810.1330.1680.2890.2440.2780.1410.2730.2220.2150.1780.1890.2230.1240.0970.0470.1020.1510.1300.1760.1170.0330.0490.0880.0990.0160.1120.0210.0710.1220.1850.1470.1510.1720.0830.1170.0500.0550.1190.0390.1320.1210.0490.0200.0000.0410.0570.2000.1110.015
Symptom_Eye_vision_symptoms0.2490.1910.1320.2230.0000.2060.1500.1480.0580.1960.1840.1950.1550.1090.1400.1670.0510.2480.2320.2460.2280.2320.1620.2000.0700.0870.1850.1960.1940.0840.1180.1690.1610.1210.0900.1400.0590.0730.1110.1610.0930.1190.1150.0800.2220.2340.1830.1820.1390.1380.1300.1380.1010.1120.1280.1340.1120.1470.1740.1470.1130.0550.2400.2230.1740.2130.2180.2370.1890.1450.1410.1010.1190.1070.1810.1400.1550.1060.1980.1880.1960.1660.1750.2280.1320.2490.2500.1230.0910.2250.2430.1810.1430.1070.1950.1430.1500.0760.0910.0660.0970.1130.1350.1050.1430.1010.1110.0110.1700.2421.0000.1300.2290.1690.1790.1370.1380.1900.0590.2600.1650.2110.2020.0980.1870.1610.2020.2520.1980.1650.1250.1930.6830.3570.2510.2940.3140.3040.1670.1160.1680.1900.1490.2620.2270.0310.0760.0530.0910.0300.1540.0500.0940.1610.2060.1580.2100.2490.0950.1880.0700.0640.1190.0610.1480.1300.0400.0690.0290.0960.0460.2040.1630.044
Symptom_Reproductive_all_menstrual_issues0.1880.0840.0840.0870.0110.0770.0620.0730.0270.1010.0720.0840.0830.0810.0780.0830.0380.1200.1020.1230.1120.1030.0690.1070.0350.0550.0890.1000.1210.0670.0700.1060.1200.1090.0370.0930.0000.0150.0570.0880.0600.0690.0840.0610.1310.1020.0900.1090.1180.1020.1040.0610.0590.0380.0620.0960.0790.0740.0680.0630.0440.0020.1120.1150.0820.1220.1330.1230.0840.0750.0600.0520.0570.1040.1190.0850.1260.0770.1020.1130.1520.0960.1320.1540.0600.1150.1220.1010.0750.1250.1010.1140.1490.0810.1520.1240.1200.0630.0460.0390.0810.1120.0870.0710.1470.0720.1330.0090.0310.0980.1301.0000.1160.1190.1060.0840.0720.1330.0370.1130.0940.0880.0690.0780.1230.0720.1440.1400.1220.1010.0390.0430.1180.1630.0900.1350.0840.0670.0700.0440.0850.0820.0580.0740.0840.1090.4900.0670.0570.1040.1000.4100.5990.1040.1630.0900.0870.0850.1000.0780.0380.0500.0670.0180.1000.1340.0430.2240.0000.2640.0080.1910.0740.361
Symptom_Bladder_control0.1970.1670.0800.1280.0000.1480.1150.1280.0750.1050.1140.1260.0940.0900.1020.1030.0540.1610.1470.1680.1670.1500.1020.1450.0430.0770.0820.1290.1210.0630.0530.1040.1250.0870.0690.0850.0450.0590.1040.1390.0940.1090.1080.0760.1380.1380.1110.1150.0940.1280.1160.1100.0850.1040.1070.1060.0740.1130.1110.1240.1170.0720.1710.1670.1240.1570.1670.1820.1470.0770.1010.0710.0750.0810.1620.1200.0700.0670.1400.1420.1080.0880.0980.1560.0900.1330.1840.0680.0800.1520.1520.1450.1330.1040.1510.1320.1530.0570.0920.0610.0440.0590.1310.1230.0790.1400.0960.0350.1250.1550.2290.1161.0000.1290.1450.1330.1480.1250.0800.1930.1070.1430.1610.0700.1620.1070.1550.1650.1240.1200.0870.1350.2150.1930.1540.1360.1600.1550.1000.0770.0910.1250.1160.1360.1410.0460.0660.0390.1310.0390.4850.0520.0760.1370.1810.1550.1610.1730.0850.1410.1090.0360.0770.0400.1030.1140.0160.0520.0000.0440.0000.1120.1550.058
Symptom_Peeling_skin0.2370.1080.0550.1010.0380.0860.0910.0900.0350.0890.0780.0870.0600.0690.0830.0860.0300.1230.1080.1110.1160.1030.0990.1310.0640.0390.0700.1010.0980.0780.0510.0880.0830.0740.0420.0820.0520.0590.0930.1190.0970.1120.0810.0590.1380.1330.0850.1140.1000.0940.1030.0820.0820.0830.0660.0720.0740.0740.1160.1030.1210.0610.1910.1640.1210.1400.1530.1330.1370.1220.0900.0590.0900.0860.1070.0960.1090.0780.1320.1240.1080.0770.0910.1740.1000.1290.1580.0790.0920.1350.1680.1140.1220.1020.1300.0970.0920.0730.0740.0480.0440.0600.1210.0830.0910.0790.1010.0170.1190.1130.1690.1190.1291.0000.2270.2020.1620.2350.0400.1670.1010.1170.1380.0610.1240.1200.1350.1220.1370.1030.1010.0840.1480.1370.1250.1230.1190.1170.1040.0750.1160.1290.1190.1260.0810.0400.0960.0320.0760.0430.0820.0400.0940.1040.1440.1000.2420.1760.0920.1650.0910.0490.0590.0290.0860.0980.0610.0610.0000.0330.0100.1110.0980.000
Symptom_Petechiae0.3000.1030.0720.0970.0000.1130.0680.1070.0380.0880.0860.0910.0730.0800.0770.0810.0460.1320.0990.1320.1360.1180.0960.1420.0610.0740.1260.1400.1170.0760.0630.1130.1100.1040.0610.1040.0240.0350.0890.1430.0680.1030.1050.0820.1640.1790.1010.1450.1530.0820.1190.0970.0680.0760.0680.0810.0840.1050.0960.1330.1250.0250.2070.1830.1290.1520.1600.1660.1110.1160.1230.0960.0930.1160.1470.0810.1240.0940.1430.1560.1340.1380.1140.2670.1110.1250.1950.1180.1100.1640.1620.1340.1450.0850.1680.1320.1480.0690.1050.1110.0920.0960.1210.0830.1360.1180.1210.0360.1220.1670.1790.1060.1450.2271.0000.2070.2430.2690.0410.1930.1150.1490.1820.0910.1820.1340.1510.1530.1690.1530.1360.1170.1800.1690.1460.1680.1630.1210.0710.0650.1230.1460.1530.1440.1050.0270.0890.0500.0670.0430.1360.0350.0850.1120.1740.1210.2400.1970.1200.1930.0800.0730.0750.0280.1070.1440.0380.0540.0000.0140.0000.1400.1000.032
Symptom_Covid_toes0.1820.0930.0590.0850.0000.0890.0590.0930.0380.0680.0820.0910.0820.0450.0840.0440.0300.1150.0920.1120.1150.0990.1160.1000.0480.0310.0870.0950.0770.0700.0440.0740.0720.0610.0240.0790.0400.0600.0710.1170.0580.0990.0630.0390.1310.1250.0580.0910.0870.0640.0880.0790.0540.0590.0720.0580.0510.0520.0790.0860.0990.0520.1660.1670.1220.1540.1390.1320.1150.0770.0770.0600.1190.0770.1040.0830.0930.0710.1460.1180.0740.1000.0850.1920.1110.1140.1470.0870.0700.1510.1550.0800.0890.0850.1170.0920.0970.0710.0700.0990.0530.0590.0960.0700.1120.1000.0710.0390.1050.1050.1370.0840.1330.2020.2071.0000.1760.1510.0150.1390.1110.1340.1320.0430.1290.0950.1210.0970.1030.0870.1020.0780.1360.1350.0970.1060.1130.1060.0940.0590.1040.1230.0950.0910.0910.0250.0700.0520.0640.0000.1100.0310.0630.0720.1210.0730.1320.1450.0680.1680.0640.0230.0600.0230.0540.0790.0600.0410.0080.0090.0000.0810.0790.000
Symptom_Dermatographia0.4940.1170.0710.0830.0000.1000.0740.0780.0400.0860.0770.0720.0730.0770.0990.0670.0090.1060.0930.1140.1240.1070.0960.0960.0670.0450.0880.1230.1070.0460.0620.1130.0910.0790.0250.0830.0340.0360.0600.1160.0560.1170.1160.0750.1150.1470.0790.1430.0920.0960.0950.1100.0960.0770.0690.0790.0520.0630.0900.1580.1180.0000.1860.1370.1170.1400.1230.1370.1050.1050.0900.0420.0680.0840.1480.0700.0870.0590.1140.1170.0850.0790.0710.1780.1010.1010.1560.0890.1190.1380.1310.1080.1020.0770.1120.0910.1250.0760.0640.0480.0600.0610.1360.0890.0900.1060.0720.0000.1030.1090.1380.0720.1480.1620.2430.1761.0000.2290.0050.1810.0920.1330.1770.0830.1200.1360.1450.1480.1430.1270.1390.0910.1530.1540.1120.1300.1380.1210.0970.0510.0830.1010.1170.1400.0580.0270.0360.0530.1120.0000.0970.0330.0620.1030.1320.1180.2520.1880.1500.1570.1030.0090.0500.0200.1070.1640.0530.0520.0180.0220.0000.0910.1050.009
Symptom_Skin_rashes0.6590.0890.0950.0980.0170.0940.0650.1000.0480.0940.1170.0940.0690.0690.0960.0850.0480.1570.1400.1550.1290.1210.0910.1360.0510.0140.1130.1310.1130.0860.0720.1060.0920.0950.0820.0830.0060.0280.1200.1510.1000.1090.1250.0700.1220.1540.0920.1410.1110.0910.1150.1010.0790.0580.1120.0720.0680.0910.0990.1190.0760.0360.2320.1460.0930.1490.1320.1610.1000.1150.0930.0490.0670.1180.1390.1170.1270.0970.1430.1740.1160.1080.1080.1990.0940.1350.1800.1050.1190.1510.1480.1320.1430.1260.1740.1280.1350.0660.0770.0720.0950.1190.1340.1090.1430.1080.1390.0320.0990.1300.1900.1330.1250.2350.2690.1510.2291.0000.0580.1710.1430.1660.1500.0410.1410.1190.1580.1490.1560.1290.0840.1230.1860.1690.1450.1510.1540.1260.0450.0370.1350.1330.1250.1160.1410.0380.0980.0310.0830.0240.1260.0680.0910.0850.1850.1160.4000.2080.1810.1600.1640.0890.0650.0290.1280.1710.0240.0720.0000.0220.0200.1230.0800.010
Symptom_Skin_Allergy_other0.0770.0360.0490.0000.0000.0650.0430.0610.0700.0350.0520.0470.0210.0000.0000.0320.0770.0740.0630.0560.0640.0430.0130.0650.0200.0820.0000.0260.0420.0150.0080.0270.0260.0110.1010.0410.0170.0000.0710.0610.0510.0360.0320.0260.0670.0190.0270.0470.0000.0250.0360.0230.0090.0060.0820.0470.0410.0360.0400.0230.0360.0440.1230.0750.0430.0700.0760.0580.0520.0270.0000.0180.0110.0360.0400.0820.0390.0260.0710.0920.0220.0250.0610.0710.0190.0690.0560.0430.0110.0470.0390.0600.0600.0460.0770.0720.0340.0040.0450.0270.0310.0330.0310.0260.0370.0000.0540.1210.0120.0510.0590.0370.0800.0400.0410.0150.0050.0581.0000.0550.0430.0530.0470.0060.0530.0360.0360.0570.0380.0560.0000.1100.0400.0800.0700.0570.0660.0190.0000.0110.0280.0690.0540.0240.1260.0110.0390.0160.0370.0080.0760.0460.0200.0590.0600.0320.1210.0680.0480.0640.0980.0880.0120.0160.0490.0220.0190.0390.0110.0390.0000.0260.0240.047
Symptom_Muscle_spasms0.2470.1860.1440.1700.0380.1520.1110.1370.0430.1650.1420.1490.1500.1140.1760.1260.0520.1960.1970.1880.2010.1910.1500.2020.0630.0420.1450.2110.2000.0950.1040.1920.1730.1560.0540.1590.1020.0930.0940.1370.0920.1190.1030.1000.2870.3660.1790.1900.1830.1420.1530.2170.1230.1200.1170.1560.0780.1430.1550.1600.1230.0460.2810.2740.1840.2130.2650.3210.2260.1410.1450.0960.1150.1140.1990.1230.1480.1020.1650.1990.2050.1200.1670.2280.1330.1960.3330.1510.1210.2250.2340.1680.1620.1280.1950.1520.1800.0960.0940.0660.1100.1400.1260.1170.1560.1730.1420.0000.1360.2010.2600.1130.1930.1670.1930.1390.1810.1710.0551.0000.2690.2850.2820.0870.2110.1380.2150.2060.2060.1740.1390.1350.2570.2500.1890.2160.1960.1690.1230.0520.1140.1210.1280.1970.0880.0350.0830.0970.1250.0110.1390.0460.0830.1330.2190.1810.2310.2140.1120.1570.0700.0620.1190.0350.1330.1190.0400.0330.0330.0570.0150.2160.1720.028
Symptom_Muscle_aches0.1580.2270.1780.1650.0440.1370.0570.0750.0110.1870.1660.1480.1280.0930.1100.1650.0200.1870.1600.1420.1580.1460.0920.1270.0380.0150.1720.2310.1540.1540.1310.1670.1800.1370.0460.0940.0560.0680.0950.1280.0860.0800.0800.0740.1560.1630.1530.1850.1220.1210.1200.1590.0780.0610.1370.1350.0740.1300.0870.0850.0560.0380.1920.1810.1060.1830.1930.1630.2450.0880.0860.0420.0590.1280.1550.1130.1720.1520.1180.2200.1330.0800.1310.1170.0770.2220.2770.1600.0510.1500.1370.1050.1610.1060.2340.1550.1140.1310.1110.0270.1480.1800.1430.1180.1680.1340.1960.0140.0660.1300.1650.0940.1070.1010.1150.1110.0920.1430.0430.2691.0000.4410.2960.0500.1430.0990.1530.1620.1530.1060.0840.0810.1660.1810.1540.1790.1230.0730.0640.0160.0690.1020.0810.1090.0670.0050.0910.0260.0890.0310.1030.0440.0760.1130.1980.1320.1790.1530.0880.0790.0510.0400.1910.1410.0610.0590.0350.1030.0350.0850.0720.1340.1940.014
Symptom_Joint_pain0.2090.2150.1510.1710.0330.1600.0850.1260.0420.1740.1670.1500.1250.1030.1360.1550.0340.2000.1680.1680.1860.1610.1140.1260.0400.0550.1950.2480.1530.1170.1240.1750.1710.1390.0400.0980.0690.0730.1220.1590.1060.1310.1070.0990.1810.1770.1790.1910.1540.1360.1340.1650.1110.0940.1370.1370.0860.1560.1160.1170.0900.0240.2340.2100.1270.1840.2160.1910.2230.0980.0850.0620.0470.1340.1720.1250.1690.1340.1380.2050.1440.0890.1370.1440.0940.2070.3090.1730.0580.1670.1670.1300.1420.1340.1980.1340.1280.1200.1110.0570.1300.1320.1550.1250.1480.1550.1580.0240.1330.1580.2110.0880.1430.1170.1490.1340.1330.1660.0530.2850.4411.0000.3770.0500.1510.1220.1610.1830.1920.1540.1090.1000.2080.1990.1850.2090.1500.0910.0720.0390.0980.1200.1070.1390.0820.0450.0800.0320.1080.0210.1240.0390.0710.1180.2210.1630.2170.2000.1290.1510.0620.0400.1440.1030.0990.0810.0200.0860.0260.0550.0590.1490.1900.043
Symptom_Bone_ache_burning0.2130.1930.1410.1910.0230.1570.0980.1370.0240.1430.1260.1260.1220.1210.1750.1090.0350.1580.1540.1640.1750.1650.1410.1260.0490.0420.1390.1860.1560.1060.1040.1410.1500.1420.0510.1390.0870.0990.1140.1810.1010.1500.1320.1270.2020.1900.1390.1720.1680.1120.1260.1680.1130.1020.1170.1280.0640.1170.1210.1290.1130.0280.2540.1910.1430.1890.1850.2260.1820.1280.1190.0930.0710.1280.1850.1080.1540.1240.1500.1840.1190.0900.1150.1680.1210.1720.3310.1170.0910.1900.1800.1320.1270.1410.1760.1410.1290.0900.1120.0650.0940.1340.1590.1120.1530.1680.1230.0290.1400.1440.2020.0690.1610.1380.1820.1320.1770.1500.0470.2820.2960.3771.0000.0420.1620.1360.1540.1840.1790.1300.1310.0890.2090.2040.1510.1810.1520.1240.1020.0600.0870.1090.1050.1550.0910.0380.0720.0240.0940.0090.1220.0180.0640.1540.1880.1500.2110.1820.0850.1610.0540.0560.1120.0540.1100.1010.0300.1060.0000.0590.0120.1190.1660.058
Symptom_Inability_to_yawn0.1260.0400.0000.0230.0000.0200.0500.0260.0000.0120.0280.0260.0410.0390.0070.0320.0200.0680.0520.0660.0520.0580.0420.0610.0000.0100.0330.0480.0910.0160.0240.0500.0210.0460.0120.0780.0000.0000.0140.0230.0240.0510.0280.0070.1090.0780.0660.0720.1190.0730.0650.0400.0540.0570.0320.0570.0460.0420.0480.0540.0580.0360.0910.1080.1110.0750.0790.1160.0510.0880.0670.0440.1120.0220.0780.0710.0530.0160.0730.0550.0830.0980.0860.1610.0760.0450.0840.1040.0800.0660.0540.0820.0560.0040.0470.0540.0780.0090.0220.0350.0790.0800.0400.0240.0980.0330.0480.0270.0600.1000.0980.0780.0700.0610.0910.0430.0830.0410.0060.0870.0500.0500.0421.0000.1350.1020.0990.0790.0810.1050.0990.0710.0940.0850.0990.0640.0830.0510.0830.0390.0490.0740.0410.0500.0500.0350.0520.0600.0650.0280.0440.0000.0550.0740.0820.0420.0500.0840.0480.0400.0480.0300.0230.0000.0830.0690.0200.0120.0000.0430.0000.1030.0000.018
Symptom_Difficulty_swallowing0.2280.1510.0880.1180.0190.1110.1050.1020.0310.1320.1240.1300.0800.0970.1120.1150.0430.1500.1610.1620.1580.1520.1510.1560.0420.0530.1420.2160.1650.0890.1110.1530.1250.1180.0040.1290.0000.0310.0870.1170.0750.0880.1160.0790.1880.1980.1350.1730.2270.1320.1500.1220.1100.0980.1150.1110.0840.1050.1240.1330.0960.0370.2070.1780.1270.1860.1900.1690.1590.1390.1200.0890.1030.1100.1700.1280.1420.0880.1280.1520.1580.1440.1590.1990.1110.1850.1920.1770.1390.1660.1590.1570.1580.0940.1740.1660.2420.0890.1060.0800.1490.1840.1470.1050.2020.1300.2150.0560.1050.1810.1870.1230.1620.1240.1820.1290.1200.1410.0530.2110.1430.1510.1620.1351.0000.2460.2150.1840.2110.2070.1210.1310.1990.2130.1980.1980.1830.1400.0890.0610.0940.1240.1180.1540.0990.0000.1010.0450.1080.0220.1120.0580.1040.1800.2130.1560.1930.1920.1100.1750.0670.0510.1130.0290.1250.1350.0400.0600.0210.0490.0460.1670.1310.026
Symptom_Changes_in_voice0.1930.1250.1100.1230.0000.0850.0680.0850.0330.1100.0880.1020.0580.0460.0890.0990.0270.1510.1380.1390.1330.1370.1200.1240.0450.0860.0690.1200.1160.0610.0630.0920.0920.0580.0240.0750.0290.0390.1000.1080.0700.0810.0960.0600.1340.1480.0980.1230.1520.0840.0940.1020.0740.0880.0790.0930.0590.0810.1040.0840.0660.0490.1310.1220.1080.1350.1220.1120.0890.1150.0960.0490.0890.0910.1070.1000.1240.0590.1490.1330.1420.1390.1250.1430.0830.1240.1270.1490.0980.1260.1660.1120.1020.0590.1240.0940.1280.0920.0880.0580.1360.1510.1110.0680.1630.1470.1460.0820.1050.1330.1610.0720.1070.1200.1340.0950.1360.1190.0360.1380.0990.1220.1360.1020.2461.0000.1770.1540.1690.1290.0960.0980.1580.1360.1330.1390.1440.1030.0640.0290.0680.1300.1010.1330.0970.0120.0510.0260.0930.0720.0910.0260.0510.1350.1570.0950.1430.1450.0830.1410.0470.0330.1020.0370.1040.1030.0550.0360.0000.1000.0250.1460.1130.059
Symptom_Extreme_thirst0.2210.1570.1310.1440.0070.1250.0860.1180.0250.1630.1400.1400.1040.1050.0960.1540.0290.1570.1340.1620.1580.1650.1370.1490.0750.0370.1060.1630.1880.1120.1140.1260.1640.1250.0580.1120.0420.0600.0960.1270.0930.1150.1020.0940.1790.1960.1700.1760.1640.1550.1640.1210.1210.0560.1230.1300.1260.1380.1160.1310.0910.0340.1900.1810.1440.1920.1590.1640.1580.1290.1090.0730.0920.1480.1860.1320.1570.0990.1750.2100.1940.1030.1810.2250.1120.1950.1780.1600.0820.1830.1620.1440.1610.1140.1940.1600.1480.0780.0980.0750.1420.1490.1260.0860.1730.1040.1450.0340.0980.1680.2020.1440.1550.1350.1510.1210.1450.1580.0360.2150.1530.1610.1540.0990.2150.1771.0000.2170.1810.1440.1310.1130.2070.2110.2080.1860.1630.0860.0890.0680.1130.1360.1040.1480.0960.0270.1270.0000.0940.0210.1330.0810.1090.1560.2140.1380.2110.1980.0790.1330.0660.0350.1140.0640.1260.1220.0250.1150.0260.1060.0490.2060.1320.056
Symptom_Ear_sensitivity_to_noise0.2420.2200.1490.2690.0130.2230.1310.1850.0170.2170.2330.2330.1680.1140.1600.1950.0480.2400.2440.2550.2750.2320.1470.2010.0830.0410.1600.2010.2600.1510.1320.1650.2560.1580.0710.1650.0000.0280.1070.1400.1000.1040.1680.1180.2010.2000.1500.1740.1510.1530.1780.1460.1090.0870.1440.1390.1210.1320.1570.1630.1080.0340.2100.1680.1470.2340.1790.2100.1730.1380.1300.1040.0890.1290.2360.1550.1380.0850.1750.1840.1650.1280.1720.1660.1090.2380.2150.1170.0910.1900.1990.1550.1130.0950.2020.1360.1630.0640.0620.0420.1000.1100.1070.0960.1410.1000.1470.0140.1700.2890.2520.1400.1650.1220.1530.0970.1480.1490.0570.2060.1620.1830.1840.0790.1840.1540.2171.0000.2250.2130.1660.1660.2550.4270.1860.2390.2040.1330.1340.0720.0940.1380.1080.2020.1070.0640.0930.0250.1450.0260.1540.0640.1020.1660.1750.1570.1940.2050.1240.1420.0670.0780.1580.0620.1450.1490.0330.0790.0000.0940.0530.1810.1960.042
Symptom_Ear_ear_pain0.2190.1190.0970.1400.0160.1130.0670.1160.0330.1190.0990.1060.1020.0860.1010.1070.0300.1560.1420.1500.1570.1560.1020.1390.0560.0420.1750.1970.2190.1290.1540.2050.1590.1630.0600.1570.0230.0280.0900.1370.0840.1270.1270.0980.1700.1790.1270.1480.1360.1270.1340.1000.1030.0570.1020.1090.0950.1100.1040.1030.0920.0400.1820.1800.1220.1600.1570.1800.1400.1540.1390.1120.0930.1170.1520.1110.1500.0770.1550.1830.1380.1040.1380.1910.1060.1850.2170.1040.0850.1360.1520.1440.1480.0990.2100.1300.1520.0830.0810.0820.1000.1290.1810.1190.1470.0910.1970.0200.2350.2440.1980.1220.1240.1370.1690.1030.1430.1560.0380.2060.1530.1920.1790.0810.2110.1690.1810.2251.0000.3810.2020.3160.1910.2190.1680.2590.1630.1140.0720.0570.1180.1160.1110.1560.1090.0090.1030.0140.0620.0490.1330.0530.0800.1160.2440.1480.2010.2020.1150.1310.0600.0620.0910.0450.1160.1160.0510.1030.0000.0510.0300.1470.1090.000
Symptom_Ear_changes_to_ear_canal0.2070.0900.0890.0990.0000.0860.0620.0740.0460.0950.0890.0970.0880.0790.0910.0850.0190.1210.1150.1330.1370.1190.0950.1190.0310.0210.1330.1650.2100.1040.1120.1310.1380.1060.0560.1480.0200.0460.1010.1150.0840.1120.1130.0890.1570.1450.1120.1340.1260.1240.1370.0820.1050.0670.1030.0870.0780.0950.0970.1060.0900.0440.1660.1580.0940.1520.1510.1730.1040.1520.1440.1470.0910.1060.1600.0970.1310.0620.1220.1480.1180.1150.1330.1580.0810.1720.1830.1030.0920.1430.1340.1230.1120.1000.1720.1130.1480.0590.0750.0770.0930.0970.1680.1310.1150.1080.1550.0410.2500.2780.1650.1010.1200.1030.1530.0870.1270.1290.0560.1740.1060.1540.1300.1050.2070.1290.1440.2130.3811.0000.1950.3070.1660.2020.1770.2050.1620.1220.0780.0530.1030.1380.1390.1580.1050.0080.0750.0230.0740.0550.1170.0320.0790.1120.1870.1440.1580.1990.1030.1260.0720.0570.0700.0260.1200.1150.0350.0530.0110.0300.0170.1290.0760.000
Symptom_Ear_numbness0.1660.0930.0550.1160.0000.1040.1000.1220.0000.0820.0830.0880.0840.0860.1160.0680.0000.0920.0990.0990.1200.1250.1020.0950.0450.0000.0530.1000.1430.0750.0790.0900.0950.0770.0380.1130.0380.0620.0750.0950.0920.1220.0910.0980.1180.1420.0720.1250.1240.0710.0900.0870.0830.0610.0310.0650.0630.0500.1120.1430.1240.0410.1410.1960.1930.1170.1300.1300.1110.2090.1340.1100.1560.0670.1190.0530.0750.0460.0830.0940.0740.0700.0630.1380.1290.0990.1510.0770.0890.1580.1730.1050.0600.0870.0950.0640.0760.0240.0410.0750.0560.0570.0880.0490.0750.0780.0620.0000.2130.1410.1250.0390.0870.1010.1360.1020.1390.0840.0000.1390.0840.1090.1310.0990.1210.0960.1310.1660.2020.1951.0000.1350.1320.1590.1000.1550.1150.1510.1230.0430.0830.0920.1200.1180.0240.0460.0370.0750.0810.0100.0750.0250.0290.0760.1130.0990.1270.1210.0560.1270.0730.0460.0360.0000.0730.0950.0750.0000.0000.0000.0070.0750.0810.041
Symptom_Other_ear_hearing_symptoms0.1660.0770.0550.1090.0000.0990.0710.0860.0880.0690.0590.0660.0690.0400.0780.0730.0600.1280.1220.1110.1130.1140.0890.1050.0330.0830.1070.1100.1410.0940.0910.1070.0890.0970.0950.0970.0220.0310.0700.0820.0810.0960.0680.0620.1150.1120.0900.0700.0630.0960.0840.0530.0780.0620.1090.0790.0770.0680.0850.1030.0680.0390.1300.1040.0870.1100.1060.1340.1150.0980.0890.0820.0720.0610.0820.1140.0510.0290.1000.1000.0610.0750.1030.1230.0520.1290.1330.0610.0770.1390.1100.0910.0600.0380.1170.0780.1050.0170.0700.0470.0410.0480.1000.0750.0790.0540.0850.0550.2440.2730.1930.0430.1350.0840.1170.0780.0910.1230.1100.1350.0810.1000.0890.0710.1310.0980.1130.1660.3160.3070.1351.0000.1540.1520.1250.1630.1450.1080.0640.0510.0660.1040.1120.1390.1750.0000.0400.0320.0340.0060.1300.0150.0320.0790.1240.0880.1250.1460.0690.0840.1060.0850.0440.0200.0940.0830.0490.0220.0090.0540.0170.0670.0720.039
Symptom_Eye_Vision_blurred_vision0.2390.2280.1530.2400.0110.2210.1560.1670.0610.2070.1980.2060.1450.1210.1570.1730.0410.2610.2360.2640.2420.2370.1620.2240.1040.0650.1800.2030.2000.0960.1260.1830.1780.1210.0860.1330.0570.0770.1270.1590.0920.1210.1080.0830.2200.2280.1840.2020.1550.1540.1400.1350.1270.0930.1440.1410.1230.1480.1710.1550.1120.0530.2440.2240.1680.2260.2250.2510.1940.1370.1380.0870.1000.1210.1980.1340.1610.1090.2030.2070.1850.1520.1620.1920.1440.2400.2390.1390.0760.2220.2380.1650.1520.1200.2020.1540.1480.1050.1000.0750.1190.1320.1450.1280.1530.1290.1240.0000.1400.2220.6830.1180.2150.1480.1800.1360.1530.1860.0400.2570.1660.2080.2090.0940.1990.1580.2070.2550.1910.1660.1320.1541.0000.3610.2410.2740.2920.2960.1640.1000.1400.1880.1580.2350.1740.0460.0880.0300.1190.0190.1570.0270.0860.1730.2070.1470.2340.2710.1100.1790.0740.0390.1230.0730.1210.1160.0250.0890.0000.1000.0390.1950.1990.036
Symptom_Eye_Vision_sensitivity_to_light0.2590.2350.1550.2630.0240.2200.1670.1910.0420.2290.2370.2430.1710.1460.1840.2100.0460.2650.2410.2640.2770.2390.1710.2220.0990.0900.2540.2400.2770.1710.1790.2090.2880.2300.0700.1580.0500.0720.1390.1470.1210.1200.1440.1030.2030.2010.1380.1790.1600.1530.1800.1410.1340.0970.1360.1460.1270.1220.1720.1620.1180.0660.2300.1940.1480.2150.1990.2040.2160.1420.1430.1040.0920.1380.2440.1520.1700.1000.1770.1940.1870.1350.1890.1880.1570.2540.2320.1250.1040.2380.2260.1790.1570.1240.2320.1570.1420.0850.0970.0480.1220.1370.1460.1340.1410.1090.1640.0240.1380.2150.3570.1630.1930.1370.1690.1350.1540.1690.0800.2500.1810.1990.2040.0850.2130.1360.2110.4270.2190.2020.1590.1520.3611.0000.2510.3350.2390.2030.1630.0820.1250.1890.1660.2470.1920.0410.1260.0180.1430.0440.1640.0730.1110.1650.2090.1650.2140.2490.1420.1680.0680.0570.1510.0580.1520.1320.0470.0790.0210.0960.0170.2150.2140.046
Symptom_Eye_Vision_dry_eyes0.2180.1540.0850.1380.0100.1320.0690.1090.0540.1300.1140.1260.1000.0980.0980.1280.0410.1630.1360.1520.1610.1340.0870.1400.0410.0410.1510.1890.1700.1020.0910.1460.1470.1190.0710.0930.0340.0550.0940.1160.0670.0840.0960.0600.1520.1480.1420.1560.1310.1390.1390.1120.1200.0740.1350.1140.1010.1270.0930.1060.0600.0540.2010.1640.1070.1840.1570.1810.1350.0980.1050.0540.0800.0800.1750.1180.1230.0730.1300.1540.1410.1200.1440.1860.0790.1690.1790.0990.0910.1180.1310.1580.1360.0940.1740.1370.1580.0900.0980.0340.0910.1010.1330.0770.1190.0770.1360.0230.0950.1780.2510.0900.1540.1250.1460.0970.1120.1450.0700.1890.1540.1850.1510.0990.1980.1330.2080.1860.1680.1770.1000.1250.2410.2511.0000.2220.2160.1310.0950.0440.1640.2380.2300.1740.2190.0300.0800.0090.0930.0470.1300.0360.0440.1650.2010.1470.2340.3710.1410.1560.0470.0370.0890.0530.1140.1190.0140.1020.0000.0390.0610.1540.1280.065
Symptom_Eye_Vision_eye_pressure_pain0.2130.1520.1170.1750.0330.1390.0950.1130.0470.1520.1380.1480.1370.1190.1160.1410.0480.1810.1610.2000.1870.1660.1240.1480.0480.0660.3460.2310.2840.1510.1800.2170.2220.1820.0880.1660.0270.0330.1130.1330.0920.1270.1110.0780.1580.1690.1520.1620.1420.1210.1450.1210.0930.0870.1150.1370.0980.1390.1110.0940.0830.0240.2140.1880.1420.1720.1650.1790.1720.1850.1670.1350.0710.1200.1490.1330.1350.0890.1420.1840.1470.1380.1650.1800.0980.1930.2280.1310.0910.1710.1750.1440.1400.1110.2040.1250.1520.0730.0660.0720.1080.1420.1410.1140.1520.1040.1510.0340.0910.1890.2940.1350.1360.1230.1680.1060.1300.1510.0570.2160.1790.2090.1810.0640.1980.1390.1860.2390.2590.2050.1550.1630.2740.3350.2221.0000.2100.1630.1270.0860.1060.1820.1660.1820.2330.0130.1240.0410.0860.0180.1460.0700.1200.1370.2230.1580.2000.2330.1120.1670.0550.0440.0850.0280.1140.1130.0280.0740.0000.0800.0230.1660.1350.057
Symptom_Eye_Vision_floaters0.2110.1470.0950.1540.0280.1460.0920.1150.0380.1320.1450.1500.0930.1010.1310.1170.0290.1770.1520.1830.1750.1610.1100.1520.0650.0500.1610.1800.1560.0910.1070.1270.1360.1050.0490.1080.0220.0310.1200.1410.0890.1150.0830.0690.1510.1550.1390.1580.1270.1570.1430.1460.1160.0710.1280.0990.0830.1290.1340.1270.1180.0260.1800.1640.1230.1960.1550.1750.1210.1300.0950.0580.0760.0920.1610.1080.1110.0590.1250.1470.1310.1130.1290.1550.0810.1780.1720.0950.0610.1680.1550.1240.1250.0760.1520.0860.1550.0880.0960.0670.0890.1020.1320.1040.1040.1160.1090.0310.1320.2230.3140.0840.1600.1190.1630.1130.1380.1540.0660.1960.1230.1500.1520.0830.1830.1440.1630.2040.1630.1620.1150.1450.2920.2390.2160.2101.0000.1810.1330.0930.0950.1820.1320.3280.1660.0300.0850.0320.1000.0250.1180.0320.0720.1400.1640.1220.1990.2170.1130.1710.0660.0500.0790.0320.1090.1010.0450.0380.0000.0370.0300.1440.1390.000
Symptom_Eye_Vision_double_vision0.2070.1320.0910.1410.0370.1350.1200.1440.0330.1210.1040.1220.0990.0720.1250.0920.0390.1470.1540.1830.1490.1520.1290.1470.0400.0680.0950.0960.1270.0610.0800.0990.1100.1020.0650.1360.0440.0410.0800.0980.0650.0960.1000.0580.1500.1570.0850.1010.1060.0810.0920.0700.0630.0760.0570.1000.0750.0680.1660.1790.1260.0690.1450.1380.1460.1270.1300.1650.1220.1000.0910.0700.0760.0700.1300.0910.0890.0570.1330.0910.1080.1190.0890.1040.1250.1190.1310.0830.0890.1730.2090.1120.0750.0510.1070.0850.0730.0380.0470.0630.0520.0680.0900.0630.0840.0950.0550.0280.1130.1240.3040.0670.1550.1170.1210.1060.1210.1260.0190.1690.0730.0910.1240.0510.1400.1030.0860.1330.1140.1220.1510.1080.2960.2030.1310.1630.1811.0000.1820.1110.0770.1220.1270.1590.1120.0280.0500.0440.0650.0000.1060.0120.0730.1160.1040.0790.1370.1600.0870.1230.0750.0100.0490.0290.0970.1050.0440.0360.0000.0040.0010.1140.1180.000
Symptom_Eye_Vision_tunnel_vision0.1520.1060.0260.1280.0260.0970.1560.1140.0000.0880.0930.0950.1110.0660.1430.0760.0040.1000.1240.1460.1440.1230.1070.1260.0420.0340.0650.0700.1160.0550.0570.0730.0900.0630.0150.0910.0230.0290.0700.0910.0630.1200.0820.0760.1010.1090.0570.0550.0670.0720.0670.0620.0340.0670.0370.0740.0780.0620.1030.1100.1130.0320.0980.1160.1050.1010.0980.1140.0940.0670.0810.0770.0680.0550.1000.0630.0690.0540.1100.0740.0830.0770.0660.0980.1110.0880.1050.0480.0910.1630.1340.0700.0510.0460.0840.0680.0530.0110.0460.0440.0330.0470.0850.0530.0680.0700.0400.0160.0720.0970.1670.0700.1000.1040.0710.0940.0970.0450.0000.1230.0640.0720.1020.0830.0890.0640.0890.1340.0720.0780.1230.0640.1640.1630.0950.1270.1330.1821.0000.1140.0290.1030.0970.1510.0710.0290.0710.0820.1340.0140.0590.0230.0610.1080.0940.0770.0940.0930.0690.0990.0360.0450.0390.0220.0740.0700.0390.0240.0000.0560.0330.0930.1000.046
Symptom_Eye_Vision_loss_of_vision0.0800.0640.0260.0660.0000.0650.0750.0590.0170.0410.0400.0430.0320.0520.0660.0270.0000.0490.0600.0460.0600.0650.0860.0590.0230.0500.0520.0420.0480.0600.0000.0240.0390.0320.0470.0640.0310.0360.0320.0300.0240.0560.0440.0380.0470.0650.0240.0210.0390.0200.0630.0190.0320.0510.0000.0240.0220.0180.0850.0900.1070.0280.0490.0750.0840.0580.0500.0560.0270.0280.0480.0480.0650.0410.0440.0050.0310.0410.0570.0360.0490.0340.0330.0520.0700.0470.0550.0380.0500.0810.0940.0420.0280.0260.0440.0260.0540.0000.0120.0600.0220.0270.0450.0330.0320.0430.0060.0080.0570.0470.1160.0440.0770.0750.0650.0590.0510.0370.0110.0520.0160.0390.0600.0390.0610.0290.0680.0720.0570.0530.0430.0510.1000.0820.0440.0860.0930.1110.1141.0000.0310.0290.0310.0990.0560.0600.0420.0220.0480.0000.0570.0000.0230.0000.0460.0250.0670.0730.0420.0810.0500.0460.0170.0000.0220.0540.0240.0170.0000.0200.0280.0550.0700.000
Symptom_Eye_Vision_pink_eye0.1630.0280.0340.0580.0000.0550.0430.0380.0370.0500.0590.0670.0410.0110.0320.0520.0360.0830.0690.0840.0750.0670.0620.0770.0460.0280.0750.0930.0840.0590.0460.0750.0540.0590.0520.0680.0230.0330.0610.0680.0500.0500.0810.0380.1000.1070.0660.0830.0870.0650.0690.0480.0740.0540.0500.0250.0480.0610.0500.0570.0440.0170.1230.1150.0830.1100.0730.1080.0660.0570.0590.0340.0460.0780.0770.0460.0920.0660.0980.1000.1010.0630.0620.1530.0620.0920.1160.0650.0790.0860.0790.0620.1130.0500.1150.0770.0930.0480.0410.0390.0460.0610.0970.0560.0970.0730.1060.0180.0420.1020.1680.0850.0910.1160.1230.1040.0830.1350.0280.1140.0690.0980.0870.0490.0940.0680.1130.0940.1180.1030.0830.0660.1400.1250.1640.1060.0950.0770.0290.0311.0000.2310.2080.0780.2280.0440.0570.0150.0370.0300.0560.0260.0500.0310.1210.0790.1280.2220.0600.0600.0420.0350.0410.0220.0850.0870.0100.0290.0090.0240.0210.1030.0180.005
Symptom_Eye_Vision_bloodshot_eyes0.1850.0680.0510.0840.0100.1070.0710.0720.0300.0950.0750.1010.0830.0820.0560.1040.0210.1030.1130.1130.1080.0950.0820.1300.0220.0160.1150.1340.1300.0840.0760.0820.0960.0770.0500.1030.0130.0300.0790.0710.0550.0840.1080.0770.1400.1210.1110.1290.1060.1240.1110.0730.0940.0650.0820.0890.0840.0930.0880.0950.0750.0340.1530.1320.0870.1570.1320.1310.1130.1000.0740.0590.0890.0860.1210.0880.1170.0680.1240.1210.1100.1110.1060.1540.0890.1160.1400.0650.0880.1290.1030.0970.1300.0460.1180.1130.1110.0540.0810.0760.0650.0810.1240.1090.0920.0850.1230.0210.0790.1510.1900.0820.1250.1290.1460.1230.1010.1330.0690.1210.1020.1200.1090.0740.1240.1300.1360.1380.1160.1380.0920.1040.1880.1890.2380.1820.1820.1220.1030.0290.2311.0000.2840.1500.2100.0240.0710.0560.0820.0270.0980.0210.0490.0890.1340.1310.1420.2500.0770.1080.0820.0190.0740.0110.1100.0990.0320.0000.0000.0400.0670.1110.0610.000
Symptom_Eye_Vision_redness_outside_eye0.1780.0920.0860.0950.0000.0700.0660.0720.0490.0820.0560.1090.0780.0520.0630.0760.0330.0770.0730.0930.0840.0830.0680.0790.0240.0120.0860.1050.1170.0710.0750.0780.0920.0750.0410.0800.0160.0440.0480.0750.0730.0850.0870.0360.1240.1010.0590.1130.1120.0740.0890.0790.0560.0510.0640.0610.0510.0540.0650.0940.0740.0410.1280.1120.0890.1290.1180.1180.1110.1030.0980.0680.0750.0810.1030.0670.0730.0460.1360.1040.0880.0910.0900.1280.0730.0980.1130.0790.1000.0950.1100.0880.1000.0870.1180.0880.0820.0660.0730.0760.0570.0780.1070.0530.0980.0950.0790.0320.0900.1300.1490.0580.1160.1190.1530.0950.1170.1250.0540.1280.0810.1070.1050.0410.1180.1010.1040.1080.1110.1390.1200.1120.1580.1660.2300.1660.1320.1270.0970.0310.2080.2841.0000.0950.1910.0000.0310.0330.0720.0380.0850.0290.0360.0930.1320.1290.1680.2670.0820.1160.0600.0420.0530.0000.0680.0860.0090.0000.0000.0000.0000.0930.0860.033
Symptom_Eye_Vision_seeing_things_peripheral_vision0.1810.1490.0790.1590.0120.1800.1220.1550.0410.1510.1470.1530.1240.1120.1910.1240.0350.1790.1660.1680.1820.1720.1430.1430.0440.0560.1290.1340.1580.0850.0950.1060.1430.1060.0370.1230.0420.0510.1360.1720.1130.1180.1110.0740.1500.1420.1200.1460.1130.1500.1660.1430.1360.0790.1090.1090.1000.1120.3010.2050.1490.0750.1730.1470.1320.1610.1260.1740.1270.1390.1150.0620.0670.0990.1610.0790.0980.0690.1390.1390.1200.0980.1040.1280.0960.1600.1670.0980.0680.2010.1780.1120.1170.0780.1500.0890.1400.0650.0700.0480.0870.0850.1280.1030.1110.1230.1030.0170.1330.1760.2620.0740.1360.1260.1440.0910.1400.1160.0240.1970.1090.1390.1550.0500.1540.1330.1480.2020.1560.1580.1180.1390.2350.2470.1740.1820.3280.1590.1510.0990.0780.1500.0951.0000.1010.0230.0590.0130.0830.0430.1070.0280.0500.1440.1570.1440.1810.2040.0920.1420.0470.0530.0690.0250.1020.0760.0500.0560.0420.0270.0140.1230.1370.038
Symptom_Eye_Vision_other_eye_issues0.1550.0580.0530.0800.0110.1050.0610.0690.1120.0740.0810.0940.0710.0570.0400.0740.0890.1400.1260.1360.1280.1090.0790.1150.0430.0860.1140.0890.1080.0580.0590.0780.0960.0630.1230.0700.0030.0220.0800.0750.0630.0460.0680.0440.1140.0980.0830.0860.0540.0660.0660.0540.0490.0410.1310.0560.0940.0640.0870.0710.0570.0650.1210.1040.0620.1250.0970.1110.0850.0610.0630.0700.0410.0480.0900.1510.0530.0310.1280.1220.0830.0770.1220.1300.0440.1310.1190.0560.0690.0890.1090.0820.1000.0370.1210.0950.0920.0590.0690.0350.0580.0410.0950.0890.0640.0490.1040.1010.0650.1170.2270.0840.1410.0810.1050.0910.0580.1410.1260.0880.0670.0820.0910.0500.0990.0970.0960.1070.1090.1050.0240.1750.1740.1920.2190.2330.1660.1120.0710.0560.2280.2100.1910.1011.0000.0000.0270.0110.0300.0340.1310.0850.0520.0910.1190.0870.1260.2500.0630.0900.0970.0530.0690.0260.0860.0690.0440.0580.0000.0860.0140.0820.0370.060
Symptom_Reproductive_early_menopause0.0550.0400.0170.0450.0080.0370.0390.0600.0000.0320.0230.0000.0450.0510.0410.0240.0060.0280.0300.0210.0250.0300.0180.0250.0000.0000.0000.0110.0180.0000.0000.0130.0140.0050.0000.0290.0000.0000.0000.0000.0000.0080.0040.0090.0290.0000.0250.0530.0290.0050.0280.0280.0420.0260.0190.0170.0220.0220.0240.0450.0430.0000.0640.0360.0350.0480.0110.0590.0240.0000.0240.0000.0070.0180.0150.0100.0320.0000.0640.0460.0150.0220.0000.0580.0260.0240.0380.0150.0240.0490.0210.0290.0000.0090.0000.0000.0260.0000.0140.0000.0000.0000.0200.0240.0180.0260.0260.0000.0380.0330.0310.1090.0460.0400.0270.0250.0270.0380.0110.0350.0050.0450.0380.0350.0000.0120.0270.0640.0090.0080.0460.0000.0460.0410.0300.0130.0300.0280.0290.0600.0440.0240.0000.0230.0001.0000.0000.0000.0570.0330.0270.0000.0390.0290.0310.0130.0370.0260.0000.0450.0640.0170.0070.0000.0320.0340.0350.0490.0000.0800.0000.0120.0160.037
Symptom_Reproductive_abnormally_heavy_periods_clotting0.1360.0930.0580.0800.0290.0540.0470.0440.0130.0820.0800.0870.0740.0730.0400.0770.0210.0950.0800.0990.0960.0730.0410.0830.0460.0500.0940.0760.1020.0590.0770.0800.1210.0940.0000.0670.0000.0000.0410.0610.0460.0580.0630.0630.0950.0710.0650.0870.0800.0920.0830.0600.0520.0000.0500.0700.0470.0660.0700.0320.0420.0000.0730.0810.0900.0900.0960.0980.0800.0680.0740.0330.0660.0860.0980.0650.0990.0920.0580.1060.1260.0780.0950.1540.0650.0980.0880.0870.0650.1010.0710.0660.1130.0900.1160.0830.0600.0630.0370.0460.0720.0890.0740.0380.0930.0250.0870.0000.0000.0490.0760.4900.0660.0960.0890.0700.0360.0980.0390.0830.0910.0800.0720.0520.1010.0510.1270.0930.1030.0750.0370.0400.0880.1260.0800.1240.0850.0500.0710.0420.0570.0710.0310.0590.0270.0001.0000.0480.0640.0000.0440.1750.3450.0530.1030.0490.0880.0690.0570.0720.0190.0240.0660.0260.0800.1050.0400.1580.0000.2130.0250.1570.0890.306
Symptom_Reproductive_testicle_penis_pain_changes0.0690.0100.0150.0000.0100.0300.0490.0230.0000.0070.0000.0150.0190.0150.0140.0000.0000.0190.0420.0080.0300.0290.0330.0400.0250.0000.0000.0160.0320.0000.0000.0380.0000.0170.0170.0500.0020.0120.0040.0000.0000.0000.0060.0050.0550.0850.0260.0230.0100.0140.0250.0500.0240.0750.0150.0180.0330.0150.0500.0570.0270.0050.0570.0680.0630.0560.0300.0580.0400.0370.0230.0550.0350.0000.0000.0160.0000.0000.0200.0000.0220.0320.0000.0510.0110.0150.0560.0000.0550.0660.0690.0670.0470.0000.0080.0250.0380.0000.0250.0480.0000.0000.0280.0280.0240.0220.0000.0000.0370.0880.0530.0670.0390.0320.0500.0520.0530.0310.0160.0970.0260.0320.0240.0600.0450.0260.0000.0250.0140.0230.0750.0320.0300.0180.0090.0410.0320.0440.0820.0220.0150.0560.0330.0130.0110.0000.0481.0000.1550.0000.0280.0460.0530.0000.0630.0550.0240.0340.0000.0000.0000.0170.0140.0000.0360.0340.0390.3650.0000.0690.0000.0280.0170.072
Symptom_Reproductive_sexual_dysfunction0.1550.1560.0640.1360.0000.1100.0970.1030.0000.1110.1110.1290.0990.0980.0980.1000.0000.1210.1130.1210.1400.1030.0990.1080.0730.0480.0710.0980.0960.0580.0340.0660.1230.0850.0210.0520.0350.0320.0340.0860.0550.0710.0470.0360.0850.1110.0780.1040.0760.0750.0920.0790.0840.0920.0560.0810.0640.0800.1010.1050.0820.0310.1120.1200.0980.0980.1060.1030.1260.0580.0780.0460.0660.0380.1040.0480.0330.0390.0520.0700.0760.0470.0600.0870.1010.0900.1020.0510.0640.1460.1370.0920.0640.0640.0660.0640.0750.0310.0650.0260.0320.0390.0750.0680.0510.0890.0440.0000.0670.0990.0910.0570.1310.0760.0670.0640.1120.0830.0370.1250.0890.1080.0940.0650.1080.0930.0940.1450.0620.0740.0810.0340.1190.1430.0930.0860.1000.0650.1340.0480.0370.0820.0720.0830.0300.0570.0640.1551.0000.0070.0600.0310.0720.0930.0980.1050.1330.1010.0510.1200.0510.0270.0540.0330.1000.0800.0640.1000.0130.0550.0000.0810.1420.040
Symptom_Reproductive_postmenopausal_bleeding0.0460.0200.0000.0330.0000.0140.0060.0000.0000.0040.0150.0330.0000.0150.0110.0000.0000.0360.0100.0320.0000.0310.0200.0000.0000.0170.0070.0200.0420.0000.0130.0200.0220.0000.0000.0460.0280.0440.0210.0350.0270.0230.0110.0320.0260.0000.0260.0430.0500.0230.0140.0420.0190.0390.0140.0210.0160.0390.0200.0030.0360.0000.0270.0190.0200.0430.0260.0380.0000.0130.0220.0000.0300.0350.0100.0160.0290.0370.0000.0260.0240.0100.0360.0460.0000.0380.0380.0480.0170.0000.0080.0180.0400.0180.0250.0320.0410.0200.0200.0120.0240.0330.0000.0000.0190.0340.0130.0000.0240.0160.0300.1040.0390.0430.0430.0000.0000.0240.0080.0110.0310.0210.0090.0280.0220.0720.0210.0260.0490.0550.0100.0060.0190.0440.0470.0180.0250.0000.0140.0000.0300.0270.0380.0430.0340.0330.0000.0000.0071.0000.0110.0000.0020.0320.0360.0220.0270.0530.0130.0260.0000.0400.0150.0050.0200.0300.0000.0620.0000.1140.0000.0180.0000.121
Symptom_Reproductive_other_urinary_issues0.1820.1270.0680.1120.0000.1160.0730.0920.0760.0820.0900.0950.0830.0830.0760.0890.0690.1280.1150.1380.1330.1060.0800.1410.0360.0560.0830.1170.1080.0790.0240.1000.0890.0650.0800.0920.0000.0270.0870.0950.0740.0740.0850.0650.1310.1440.1020.0930.0740.0800.1030.0830.0560.0750.0990.0730.0730.0920.0790.0750.0530.0810.1470.1350.0920.1270.1320.1460.1190.0790.0790.0740.0660.0570.1270.1250.0690.0390.1330.1150.1020.0570.0890.1190.0580.1120.1500.0820.0850.1210.1090.1310.1030.0930.1460.1200.1300.0360.0740.0410.0640.0560.0940.0930.0910.0840.0930.0640.0860.1120.1540.1000.4850.0820.1360.1100.0970.1260.0760.1390.1030.1240.1220.0440.1120.0910.1330.1540.1330.1170.0750.1300.1570.1640.1300.1460.1180.1060.0590.0570.0560.0980.0850.1070.1310.0270.0440.0280.0600.0111.0000.0520.0400.1230.1700.1310.1500.1400.0640.1010.1170.0350.0710.0320.1150.1110.0290.0490.0000.0510.0000.1050.1240.059
Symptom_Reproductive_other_menstrual_issues0.0890.0000.0340.0580.0000.0330.0130.0270.0360.0520.0550.0490.0390.0350.0060.0380.0710.0570.0540.0740.0680.0380.0180.0630.0420.0410.0590.0410.0510.0630.0120.0520.0720.0810.0710.0330.0040.0090.0000.0330.0010.0280.0100.0000.0570.0350.0190.0550.0290.0370.0350.0170.0000.0000.0490.0510.0170.0000.0000.0090.0000.0180.0310.0620.0430.0720.0640.0340.0000.0260.0000.0440.0000.0430.0590.0730.0370.0370.0480.0600.0670.0470.0660.0640.0230.0390.0430.0460.0470.0080.0360.0500.0490.0210.0750.0580.0460.0340.0270.0000.0360.0420.0340.0340.0680.0200.0610.0560.0080.0210.0500.4100.0520.0400.0350.0310.0330.0680.0460.0460.0440.0390.0180.0000.0580.0260.0810.0640.0530.0320.0250.0150.0270.0730.0360.0700.0320.0120.0230.0000.0260.0210.0290.0280.0850.0000.1750.0460.0310.0000.0521.0000.1200.0470.0650.0360.0380.0360.0460.0030.0590.0240.0270.0000.0360.0640.0080.1540.0000.1580.0000.0810.0170.209
Symptom_Reproductive_abnormally_irregular_periods0.1350.0930.0700.0690.0110.0630.0810.0730.0000.0800.0380.0750.0690.0760.0820.0770.0130.0860.0760.1020.0780.0810.0520.0780.0180.0270.0780.0700.1150.0570.0640.0910.0880.0770.0110.0670.0140.0270.0510.0770.0540.0590.0590.0520.0870.0780.0840.0930.0820.0910.1030.0210.0580.0450.0610.0740.0640.0750.0540.0410.0280.0000.0790.0600.0500.0840.0910.0740.0700.0620.0510.0420.0200.0810.0950.0530.0960.0480.0820.0770.1140.0810.1100.0990.0480.0860.0820.0740.0470.1150.0820.0800.1130.0620.1130.1070.0760.0580.0460.0520.0740.0960.0630.0560.1150.0620.0910.0000.0180.0710.0940.5990.0760.0940.0850.0630.0620.0910.0200.0830.0760.0710.0640.0550.1040.0510.1090.1020.0800.0790.0290.0320.0860.1110.0440.1200.0720.0730.0610.0230.0500.0490.0360.0500.0520.0390.3450.0530.0720.0020.0400.1201.0000.0670.1130.0780.0780.0580.0550.0520.0000.0210.0530.0190.0850.0790.0290.1840.0000.2250.0190.1410.0870.334
Symptom_Gastrointestinal_feeling_full_quickly_eating0.1640.1470.1020.1070.0180.1000.0670.0910.0140.0980.0980.1020.1070.0930.0810.0920.0000.1220.1150.1240.1400.1130.0960.0970.0280.0220.0800.1350.1150.0580.0690.1060.0890.0900.0430.0870.0410.0530.1230.1270.0930.1090.1040.0810.1120.1270.1150.1260.1090.1070.0990.0830.0890.0440.1030.1050.0990.1170.0970.1030.0560.0150.1370.1200.0910.1460.1100.1150.1230.0750.0850.0650.0500.0980.1660.1170.1300.0620.1390.1380.1320.1050.1280.1050.0880.1420.1450.1120.0700.1140.1170.2100.1610.1280.2200.2990.1880.0520.0550.0280.0900.0870.1240.0910.1090.0570.0780.0000.0870.1220.1610.1040.1370.1040.1120.0720.1030.0850.0590.1330.1130.1180.1540.0740.1800.1350.1560.1660.1160.1120.0760.0790.1730.1650.1650.1370.1400.1160.1080.0000.0310.0890.0930.1440.0910.0290.0530.0000.0930.0320.1230.0470.0671.0000.2890.1900.1730.1670.0890.1280.0500.0240.0770.0420.1100.0900.0000.0790.0000.0260.0160.1360.1270.026
Symptom_Gastrointestinal_abdominal_pain0.2610.1680.1130.1380.0310.1130.0740.1070.0360.1200.1240.1220.1080.0950.0880.1370.0220.1610.1600.1690.1630.1480.1390.1460.0370.0480.1570.2200.1790.1430.1510.1910.1690.1580.0700.1520.0150.0230.1070.1480.0930.1340.1150.0860.1570.1730.1740.2080.1630.1390.1630.1260.1050.0870.1250.1510.1020.1560.1190.1100.0860.0410.2060.2130.1320.1930.1860.1720.1710.1090.1130.0920.0750.1530.1890.1370.1960.1080.1750.2220.1740.1320.1670.1540.0940.2250.2460.1410.1000.1640.1590.2560.3170.1830.3510.2390.2990.0720.0830.0440.1000.1660.1710.1090.2180.1020.1850.0070.1020.1850.2060.1630.1810.1440.1740.1210.1320.1850.0600.2190.1980.2210.1880.0820.2130.1570.2140.1750.2440.1870.1130.1240.2070.2090.2010.2230.1640.1040.0940.0460.1210.1340.1320.1570.1190.0310.1030.0630.0980.0360.1700.0650.1130.2891.0000.3440.2480.2210.1350.1500.0790.0330.1220.0600.1430.1590.0480.0780.0290.0570.0520.1760.1540.000
Symptom_Gastrointestinal_hyperactive_bowel0.2070.1140.0720.1020.0370.1050.0890.0970.0000.0690.0900.1030.1060.0970.0880.0850.0000.0970.0960.1170.1140.1220.0870.0830.0460.0270.0900.1540.1220.0700.0750.1120.1010.0930.0230.1060.0180.0390.0960.1150.0790.1350.0910.0800.1400.1440.1220.1670.1130.1430.1420.1190.1260.0830.0900.0950.0980.1040.0790.1010.1010.0330.1650.1490.0540.1600.1380.1500.1320.0820.0770.0820.0520.1300.1620.0930.1170.0690.1360.1630.1270.0750.1200.1040.0540.1520.1680.0800.0710.1210.1140.1340.3290.1320.2290.1720.2130.0590.0910.0450.0540.0630.1240.0880.1000.0930.0950.0180.0760.1470.1580.0900.1550.1000.1210.0730.1180.1160.0320.1810.1320.1630.1500.0420.1560.0950.1380.1570.1480.1440.0990.0880.1470.1650.1470.1580.1220.0790.0770.0250.0790.1310.1290.1440.0870.0130.0490.0550.1050.0220.1310.0360.0780.1900.3441.0000.1770.1750.1240.1280.0670.0490.0610.0330.1250.1150.0230.0340.0000.0230.0250.1270.1080.018
Symptom_SkinAllergy_itchy_skin0.3940.1700.1140.1500.0340.1650.0760.1370.0360.1260.1390.1350.1060.1320.1330.1220.0510.1870.1640.1850.1880.1520.1300.1510.0620.0490.1570.1850.1530.1020.1070.1560.1530.1250.0570.0920.0580.0520.1030.1680.0750.1240.1140.0780.1500.1690.1500.1870.1410.1350.1330.1510.1080.0730.1140.1140.1050.1360.1210.1240.1230.0290.3930.1800.1100.1930.1920.2000.1440.1140.1080.0660.0550.1310.1870.1220.1470.1270.1560.2040.1130.0980.1190.1530.0920.1810.2270.1150.0990.1630.1740.1680.1680.1410.1830.1230.1360.1140.1120.0560.1150.0950.1660.1180.1180.1430.1290.0090.1280.1510.2100.0870.1610.2420.2400.1320.2520.4000.1210.2310.1790.2170.2110.0500.1930.1430.2110.1940.2010.1580.1270.1250.2340.2140.2340.2000.1990.1370.0940.0670.1280.1420.1680.1810.1260.0370.0880.0240.1330.0270.1500.0380.0780.1730.2480.1771.0000.3890.1980.2000.1270.0670.0790.0560.1320.1580.0230.0890.0080.0480.0130.1190.1590.047
Symptom_SkinAllergy_itchy_eyes0.2940.1550.1120.1340.0050.1600.1100.1360.0380.1160.1190.1350.1000.1090.1210.1100.0440.1710.1490.1630.1740.1670.1400.1540.0560.0410.1680.2010.1650.1030.1180.1490.1600.1230.0490.1290.0490.0670.1210.1640.1180.1310.1100.0990.1700.1710.1210.1670.1600.1520.1510.1280.1320.1140.1350.0980.0980.0890.1090.1390.1140.0570.2510.1770.0960.1870.1750.1830.1260.1130.1110.0790.0830.1120.1780.1060.1260.0970.1630.1710.1380.1020.1250.1540.0880.1820.1930.1240.1020.1640.1760.1540.1460.1020.1940.1190.1590.0970.1180.0450.0990.0870.1940.1320.1120.1540.1370.0150.1480.1720.2490.0850.1730.1760.1970.1450.1880.2080.0680.2140.1530.2000.1820.0840.1920.1450.1980.2050.2020.1990.1210.1460.2710.2490.3710.2330.2170.1600.0930.0730.2220.2500.2670.2040.2500.0260.0690.0340.1010.0530.1400.0360.0580.1670.2210.1750.3891.0000.2070.2030.1150.0430.0890.0520.1180.1590.0300.0530.0000.0660.0120.1410.1350.070
Symptom_SkinAllergy_heighted_reaction_allergies0.5960.0740.0650.0870.0000.0660.0580.1050.0230.0570.0770.0820.0480.0500.0710.0800.0240.1090.0890.0980.1070.0730.0720.1000.0370.0280.0800.1020.0720.0620.0620.0690.1070.0950.0360.0630.0100.0000.0700.0810.0670.0740.1040.0700.0810.0700.0830.0880.0910.0890.0910.0520.0460.0670.0980.0820.0420.0770.0600.0580.0320.0110.1260.0720.0300.0880.0840.1060.0670.0550.0720.0050.0370.0780.1300.0720.0660.0510.1050.0990.0730.0640.0830.0890.0640.0950.1250.0850.1670.1150.0920.0990.0850.0610.1010.0850.1050.0450.0830.0520.0790.0800.1010.0850.0750.1060.0770.0260.0810.0830.0950.1000.0850.0920.1200.0680.1500.1810.0480.1120.0880.1290.0850.0480.1100.0830.0790.1240.1150.1030.0560.0690.1100.1420.1410.1120.1130.0870.0690.0420.0600.0770.0820.0920.0630.0000.0570.0000.0510.0130.0640.0460.0550.0890.1350.1240.1980.2071.0000.1170.0870.0300.0620.0250.1830.3310.0280.0800.0390.0390.0000.0740.0740.000
Symptom_SkinAllergy_brittle_nail0.2150.1520.0650.1240.0080.1150.1040.1370.0430.0940.0900.0880.0850.0820.1170.0830.0570.1270.1060.1310.1220.1230.1060.1280.0340.0430.1070.1260.1170.0630.0830.0840.1080.1000.0030.0990.0660.0730.1010.1100.0970.1130.0860.0640.1140.1320.0990.1140.0960.0940.1080.1080.1020.0890.0550.1050.0700.0840.1200.1350.1090.0330.1770.1440.1070.1270.1460.1460.1190.0800.0910.0610.0910.0690.1500.0680.0920.0770.1290.0890.0870.0730.0740.1350.0810.1130.1610.0750.0670.1320.1520.1130.0920.1030.1200.0890.1140.0580.0990.0610.0640.0590.1160.0740.0770.1110.0890.0530.1400.1170.1880.0780.1410.1650.1930.1680.1570.1600.0640.1570.0790.1510.1610.0400.1750.1410.1330.1420.1310.1260.1270.0840.1790.1680.1560.1670.1710.1230.0990.0810.0600.1080.1160.1420.0900.0450.0720.0000.1200.0260.1010.0030.0520.1280.1500.1280.2000.2030.1171.0000.0850.0570.0590.0000.1020.0870.0150.0880.0000.0400.0230.1000.1410.041
Symptom_SkinAllergy_other_itchy0.1980.0430.0230.0360.0000.0560.0130.0410.0440.0220.0290.0000.0000.0260.0190.0300.0810.0680.0490.0700.0480.0760.0340.0750.0290.0270.0500.0700.0590.0390.0320.0750.0390.0380.0690.0340.0000.0000.0320.0240.0330.0370.0480.0340.0410.0640.0390.0420.0270.0370.0290.0300.0310.0340.0460.0360.0290.0320.0520.0680.0410.0470.0880.0750.0390.0710.0660.0720.0450.0400.0310.0190.0050.0050.0750.0620.0350.0000.0620.0670.0130.0250.0290.0610.0480.0610.0720.0270.0680.0760.0550.0510.0470.0480.0720.0270.0700.0130.0420.0100.0180.0000.0660.0550.0190.0290.0330.0670.0810.0500.0700.0380.1090.0910.0800.0640.1030.1640.0980.0700.0510.0620.0540.0480.0670.0470.0660.0670.0600.0720.0730.1060.0740.0680.0470.0550.0660.0750.0360.0500.0420.0820.0600.0470.0970.0640.0190.0000.0510.0000.1170.0590.0000.0500.0790.0670.1270.1150.0870.0851.0000.0000.0000.0130.0780.0990.0190.0350.0000.0440.0000.0000.0450.049
Symptom_SkinAllergy_shingles0.0840.0310.0190.0210.0000.0390.0260.0570.0180.0160.0000.0000.0420.0000.0580.0000.0180.0540.0600.0470.0490.0530.0440.0620.0480.0000.0340.0350.0290.0290.0270.0370.0170.0470.0340.0290.0140.0000.0310.0520.0200.0520.0470.0570.0490.0540.0410.0400.0240.0010.0240.0440.0160.0220.0250.0280.0120.0280.0590.0660.0460.0240.0520.0450.0510.0550.0490.0650.0330.0420.0570.0240.0670.0290.0260.0000.0380.0270.0550.0410.0530.0000.0370.0720.0310.0460.0930.0370.0330.0330.0540.0520.0310.0240.0440.0000.0340.0200.0110.0270.0000.0390.0140.0330.0450.0320.0310.0090.0600.0550.0640.0500.0360.0490.0730.0230.0090.0890.0880.0620.0400.0400.0560.0300.0510.0330.0350.0780.0620.0570.0460.0850.0390.0570.0370.0440.0500.0100.0450.0460.0350.0190.0420.0530.0530.0170.0240.0170.0270.0400.0350.0240.0210.0240.0330.0490.0670.0430.0300.0570.0001.0000.0130.0000.0390.0170.0240.0320.0000.0220.0060.0510.0400.004
Symptom_PEM0.1120.2941.0001.0000.0000.1410.0510.0940.0320.2090.2010.1840.1320.0480.0850.2150.0320.1750.1350.1370.1370.1260.0640.1250.0470.0300.0920.1120.1240.0920.0860.1060.1730.0910.0520.0590.0230.0100.0000.0290.0000.0090.0420.0310.1280.1180.1500.1320.1340.1050.0910.0880.0430.0450.1360.0880.0750.1180.0490.0450.0470.0240.1080.1090.0630.1150.1330.0840.1320.0560.0420.0430.0390.1000.1250.1010.1300.1040.0780.1280.1770.0850.1640.0730.0780.1850.1140.1860.0380.0950.0990.0740.0820.0660.1260.1070.0960.0960.0250.0340.2130.1800.0490.0390.1470.0800.1000.0080.0180.1190.1190.0670.0770.0590.0750.0600.0500.0650.0120.1190.1910.1440.1120.0230.1130.1020.1140.1580.0910.0700.0360.0440.1230.1510.0890.0850.0790.0490.0390.0170.0410.0740.0530.0690.0690.0070.0660.0140.0540.0150.0710.0270.0530.0770.1220.0610.0790.0890.0620.0590.0000.0131.0000.1970.0730.0570.0470.0960.0150.0920.3390.1880.2510.031
Symptom_Fatigue0.0330.3530.1170.1260.0170.0890.0230.0370.0270.1660.1360.1250.0880.0440.0350.1750.0120.0890.0760.0670.0650.0640.0210.0490.0120.0000.0760.0750.0580.0500.0640.0380.0670.0540.0160.0190.0180.0260.0130.0250.0000.0230.0090.0180.0340.0220.1020.0760.0490.0540.0490.0550.0140.0070.0790.0580.0390.0720.0160.0000.0120.0000.0410.0450.0220.0430.0450.0310.0920.0000.0190.0000.0000.0650.0530.0540.0880.0560.0320.0830.0720.0280.0770.0000.0340.1260.0600.0760.0000.0530.0490.0390.0550.0300.0790.0560.0390.0900.0380.0000.1100.0840.0570.0480.0400.0290.0720.0000.0000.0390.0610.0180.0400.0290.0280.0230.0200.0290.0160.0350.1410.1030.0540.0000.0290.0370.0640.0620.0450.0260.0000.0200.0730.0580.0530.0280.0320.0290.0220.0000.0220.0110.0000.0250.0260.0000.0260.0000.0330.0050.0320.0000.0190.0420.0600.0330.0560.0520.0250.0000.0130.0000.1971.0000.0000.0150.0130.0500.0050.0370.1340.0740.2050.034
Symptom_Change_sensitivity_to_meds0.6070.0900.0580.0950.0000.1050.0900.1080.0510.0640.1000.1070.0720.0440.0830.0820.0500.1220.1240.1110.1120.1010.0810.0970.0580.0490.0880.1090.0990.0650.0550.0860.0940.1110.0420.0860.0100.0000.0640.0670.0650.0610.0830.0690.1410.1460.1220.1120.1030.0700.0780.0760.0350.0970.0790.0840.0760.0890.0960.0830.0740.0360.1350.1220.0940.1430.1200.1170.1210.0940.0750.0790.0500.0760.1510.1180.0950.0500.1230.1230.1240.0930.1120.1190.0790.1300.1480.0870.1830.1200.1010.1430.0820.0660.1180.0900.0990.0370.0590.0540.0480.0770.0710.0680.1000.0680.0870.0230.0900.1320.1480.1000.1030.0860.1070.0540.1070.1280.0490.1330.0610.0990.1100.0830.1250.1040.1260.1450.1160.1200.0730.0940.1210.1520.1140.1140.1090.0970.0740.0220.0850.1100.0680.1020.0860.0320.0800.0360.1000.0200.1150.0360.0850.1100.1430.1250.1320.1180.1830.1020.0780.0390.0730.0001.0000.2460.0260.0410.0330.0450.0160.1290.0860.017
Symptom_New_allergies0.6630.0480.0480.0900.0070.0760.0870.0960.0000.0570.0750.0700.0510.0630.0740.0610.0140.1050.0980.1100.1080.0810.0620.1070.0400.0110.0760.0890.0760.0130.0410.0650.0760.0830.0340.0650.0000.0000.0390.0660.0480.0680.1080.0840.1000.1010.0870.0800.1030.0710.0840.0610.0330.0940.0550.0770.0660.0680.0770.0620.0420.0160.1370.0970.0880.1100.0940.1090.0580.0700.0660.0240.0310.0660.1440.0820.0750.0250.1130.1090.0750.0840.0640.1520.0830.0880.1250.0720.3450.1260.1130.1370.0960.0950.1050.0980.1270.0140.0340.0490.0480.0540.0800.0490.0760.0420.0780.0160.0840.1210.1300.1340.1140.0980.1440.0790.1640.1710.0220.1190.0590.0810.1010.0690.1350.1030.1220.1490.1160.1150.0950.0830.1160.1320.1190.1130.1010.1050.0700.0540.0870.0990.0860.0760.0690.0340.1050.0340.0800.0300.1110.0640.0790.0900.1590.1150.1580.1590.3310.0870.0990.0170.0570.0150.2461.0000.0080.0420.0200.0760.0000.1020.0500.041
Demographics_Ancestry_Cleaned0.0290.0300.0190.0240.0130.0340.0360.0120.0460.0610.0560.0770.0410.0320.0450.0720.0200.0660.0520.0640.0700.0400.0350.0200.0850.0740.0490.0100.0340.0220.0240.0490.0410.0540.0220.0280.0250.0000.0400.0370.0260.0300.0000.0000.0150.0480.0150.0000.0380.0470.0270.0150.0270.0350.0610.0540.0000.0080.0500.0460.0530.0280.0370.0440.0690.0090.0300.0540.0240.0360.0260.0510.0250.0050.0430.0400.0280.0240.0450.0340.0390.0320.0350.0360.0610.0660.0230.0260.0420.0880.0610.0450.0550.0640.0460.0460.0180.0660.0430.0330.0570.0180.0520.0550.0230.0580.0510.0070.0770.0490.0400.0430.0160.0610.0380.0600.0530.0240.0190.0400.0350.0200.0300.0200.0400.0550.0250.0330.0510.0350.0750.0490.0250.0470.0140.0280.0450.0440.0390.0240.0100.0320.0090.0500.0440.0350.0400.0390.0640.0000.0290.0080.0290.0000.0480.0230.0230.0300.0280.0150.0190.0240.0470.0130.0260.0081.0000.0400.0110.0560.0130.0220.0220.073
Demographics_Gender_Cleaned0.0720.0820.0640.0590.0000.0860.0270.0360.0330.0840.0940.0650.0550.0430.0550.0860.0450.1230.0900.1000.0990.0710.0510.0770.0570.0160.0530.0720.0470.0380.0590.0620.0580.0900.0410.0000.0590.0740.1040.1060.0720.0500.0620.0180.0600.0000.0420.0690.0620.0440.0590.0300.0000.0630.0610.0670.0140.0460.0290.0240.0270.0000.0580.0370.0220.0630.0630.0620.0310.0210.0310.0000.0000.1020.1020.0620.1410.0970.0830.1230.1070.0390.1200.0700.0540.1130.0670.0770.0350.0480.0460.0620.0870.1020.1600.1120.0550.1140.0310.0000.1030.1160.0860.0600.0990.0610.1190.0120.0160.0200.0690.2240.0520.0610.0540.0410.0520.0720.0390.0330.1030.0860.1060.0120.0600.0360.1150.0790.1030.0530.0000.0220.0890.0790.1020.0740.0380.0360.0240.0170.0290.0000.0000.0560.0580.0490.1580.3650.1000.0620.0490.1540.1840.0790.0780.0340.0890.0530.0800.0880.0350.0320.0960.0500.0410.0420.0401.0000.7830.0920.0000.0810.0730.175
Demographics_Trans_Cleaned0.0510.0650.0000.0090.0000.0340.0190.0080.0000.0430.0650.0460.0410.0000.0000.0300.0000.0130.0240.0170.0300.0000.0070.0250.0560.0170.0000.0000.0000.0000.0000.0060.0270.0340.0000.0140.0130.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0280.0440.0000.0000.0100.0390.0160.0160.0000.0000.0010.0000.0000.0000.0000.0000.0000.0060.0000.0240.0000.0000.0000.0000.0390.0580.0300.0330.0200.0000.0440.0150.0000.0310.0000.0150.0130.0000.0320.0250.0210.0330.0410.0180.0120.0230.0150.0280.0000.0120.0000.0210.0210.0440.0260.0260.0080.0110.0140.0000.0000.0290.0000.0000.0000.0000.0080.0180.0000.0110.0330.0350.0260.0000.0000.0210.0000.0260.0000.0000.0110.0000.0090.0000.0210.0000.0000.0000.0000.0000.0000.0090.0000.0000.0420.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0290.0000.0080.0000.0390.0000.0000.0000.0150.0050.0330.0200.0110.7831.0000.1100.0000.0240.0640.097
Demographics_Age_Cleaned0.0250.0340.0510.0490.0390.0190.0440.0220.0570.1100.1060.0760.0830.0580.0430.0930.0150.0800.0680.0620.0880.0850.0620.0760.0620.0280.0810.0670.1180.0800.0740.0740.1480.1190.0460.0690.0540.0550.0360.0730.0610.0130.0410.0000.0860.0590.0780.0710.0790.0220.1060.0390.0170.0280.0000.1070.0510.0770.0240.0000.0000.0310.0490.0290.0690.0000.0700.0730.0500.0450.0190.0000.0150.0560.0290.0000.0670.0490.0690.0490.1380.0550.1290.0820.0570.0410.0610.1120.0420.0820.0740.0520.0790.0490.0880.0860.0420.0770.0000.0470.1080.1670.0200.0000.1770.0150.1230.0120.0570.0410.0960.2640.0440.0330.0140.0090.0220.0220.0390.0570.0850.0550.0590.0430.0490.1000.1060.0940.0510.0300.0000.0540.1000.0960.0390.0800.0370.0040.0560.0200.0240.0400.0000.0270.0860.0800.2130.0690.0550.1140.0510.1580.2250.0260.0570.0230.0480.0660.0390.0400.0440.0220.0920.0370.0450.0760.0560.0920.1101.0000.0690.1190.0500.569
Flag_MECFS0.0580.1890.1200.1680.0000.0900.0000.0130.0270.2150.1850.1560.1030.0650.0000.3000.0560.1040.0300.0320.0200.0240.0000.0190.0000.0070.0450.0750.0460.0330.0380.0470.0510.0180.0050.0000.0000.0000.0000.0120.0000.0320.0000.0000.0430.0000.3140.1770.1310.1660.1220.0850.0840.0450.2310.1050.1000.2080.0000.0080.0000.0340.0510.0270.0000.0260.0460.0070.0130.0170.0210.0060.0000.0480.0370.0120.0580.0290.0000.0540.0410.0000.0860.0000.0000.1140.0000.0390.0000.0410.0000.0000.0590.0000.0540.0500.0400.0440.0000.0000.0710.0810.0000.0000.0270.0000.0550.0000.0100.0570.0460.0080.0000.0100.0000.0000.0000.0200.0000.0150.0720.0590.0120.0000.0460.0250.0490.0530.0300.0170.0070.0170.0390.0170.0610.0230.0300.0010.0330.0280.0210.0670.0000.0140.0140.0000.0250.0000.0000.0000.0000.0000.0190.0160.0520.0250.0130.0120.0000.0230.0000.0060.3390.1340.0160.0000.0130.0000.0000.0691.0000.0490.1300.016
Flag_POTS0.1070.1070.1110.0740.0320.1100.0630.1100.0310.1360.1440.1350.1200.0760.0970.1450.0360.1690.1430.1620.1540.1210.0860.1380.0430.0410.1040.1210.1760.0840.0920.1510.1760.1110.0440.1070.0000.0000.0580.1010.0550.0660.1020.0650.1970.2170.1810.1500.2040.1210.1310.1080.0800.1050.1170.1500.1020.1440.1040.0800.0840.0060.1750.1770.1240.1680.2110.1830.1290.1120.1170.0690.0660.1520.2280.1380.2130.1440.1630.1821.0000.2580.4330.2320.1280.2270.1910.2150.0950.1360.1480.1540.1630.1020.1760.1690.1620.1090.0750.0690.2030.2320.0850.0540.2490.0950.1350.0070.0460.2000.2040.1910.1120.1110.1400.0810.0910.1230.0260.2160.1340.1490.1190.1030.1670.1460.2060.1810.1470.1290.0750.0670.1950.2150.1540.1660.1440.1140.0930.0550.1030.1110.0930.1230.0820.0120.1570.0280.0810.0180.1050.0810.1410.1360.1760.1270.1190.1410.0740.1000.0000.0510.1880.0740.1290.1020.0220.0810.0240.1190.0491.0000.1140.101
FAS_cat0.0970.9360.2250.3110.0300.2650.1900.1970.0450.3540.3300.3200.2270.1490.1810.3160.0220.2590.2390.2550.2720.2200.1600.2220.0730.0340.1380.1650.1990.1370.1060.1340.2370.1720.0390.0890.0440.0670.1000.1130.0840.1000.0530.0440.1160.1560.1780.1570.1310.1230.1510.1510.1070.0940.1430.1890.0940.1450.1220.1130.0880.0130.1310.1380.1050.1380.1220.1240.2280.0440.0680.0290.0530.1080.1650.0880.1330.1340.1040.1530.1520.0810.1100.0530.1160.2040.1520.1460.0360.1750.1760.1220.1040.1420.1700.1160.0930.1150.0820.0610.1580.0990.0990.1020.0880.1290.0880.0110.0950.1110.1630.0740.1550.0980.1000.0790.1050.0800.0240.1720.1940.1900.1660.0000.1310.1130.1320.1960.1090.0760.0810.0720.1990.2140.1280.1350.1390.1180.1000.0700.0180.0610.0860.1370.0370.0160.0890.0170.1420.0000.1240.0170.0870.1270.1540.1080.1590.1350.0740.1410.0450.0400.2510.2050.0860.0500.0220.0730.0640.0500.1300.1141.0000.029
HasPeriods0.0200.0450.0550.0240.0340.0430.0000.0330.0310.0650.0460.0160.0460.0290.0350.0110.0000.0250.0000.0300.0580.0340.0380.0280.0440.0000.0380.0410.0640.0240.0440.0630.1020.1130.0220.0430.0460.0690.0430.0550.0220.0150.0000.0000.0000.0290.0000.0190.0460.0210.0700.0250.0000.0390.0000.0490.0000.0330.0000.0400.0220.0310.0090.0030.0130.0260.0270.0170.0000.0540.0000.0220.0000.0190.0080.0000.0240.0000.0630.0430.0570.0080.0620.0410.0360.0000.0000.0700.0320.0390.0110.0280.0410.0330.0630.0300.0000.0000.0000.0310.0820.1240.0000.0000.1370.0000.0750.0000.0800.0150.0440.3610.0580.0000.0320.0000.0090.0100.0470.0280.0140.0430.0580.0180.0260.0590.0560.0420.0000.0000.0410.0390.0360.0460.0650.0570.0000.0000.0460.0000.0050.0000.0330.0380.0600.0370.3060.0720.0400.1210.0590.2090.3340.0260.0000.0180.0470.0700.0000.0410.0490.0040.0310.0340.0170.0410.0730.1750.0970.5690.0160.1010.0291.000

Missing values

2023-09-16T13:27:39.005406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-16T13:27:39.472893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-09-16T13:27:39.932407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Symptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Inability_to_yawnSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_Extreme_thirstSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_medsSymptom_New_allergiesDemographics_Ancestry_CleanedDemographics_Gender_CleanedDemographics_Trans_CleanedDemographics_Age_CleanedFlag_MECFSFlag_POTSFlag_MCASFASFAS_catPhysical_PEM_SeverityCognitive_PEM_SeverityHasPeriods
01.00.00.00.00.01.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.01.00.01.00.01.00.00.00.00.0000000000000.01.00.01.00.00.01.001000100000000001000010010100000000000001000000000000000000000000000000000000000001101Asian, South Asian, South East AsianMan0.030-391.0No, no tachycardia1.020.0Minimal/No Fatigue5.05.0NaN
11.01.01.01.00.01.01.01.01.00.00.01.00.01.01.00.01.01.00.00.00.00.00.01.00.01.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.00.00.00.00.00.00.00.01.01.01.00.00.00.00.0000010100000.00.01.01.00.00.01.000000101010000010100110010100100000000001100000000000100000000011000000000000001001100WhiteWoman0.040-491.0No, no tachycardia0.030.0Fatigue9.07.0No, other reason
21.00.00.00.00.01.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.01.00.00.01.00.00.00.01.00.01.01.00.00.00.0000110000000.00.00.00.00.00.00.011100000000000000100000000100000001100011100010000001000000000110000000001000000001100OtherWoman0.040-491.0Possible, had tachycardia/palpitations0.020.0Minimal/No Fatigue8.00.0No, other reason
31.00.00.01.00.00.01.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.01.00.00.01.00.01.01.01.01.01.00.00.00.01.00.01.01.00.01.01.00.00.00.01.01.00.00.00.00.00.01.0100011000001.01.00.01.01.00.01.010100111000110111100110011100100000000011000110000000000000000000000000101100000001100WhiteWoman0.040-491.0Definite, measured bpm > 300.019.0Minimal/No Fatigue7.04.0Yes
41.00.00.00.00.00.00.00.01.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.01.00.00.00.01.00.00.01.00.00.00.00.00.00.00.0100111110000.01.01.01.00.00.01.010110101000010110100111011100101000000101100001001000010000011100000000101001100001100Asian, South Asian, South East AsianWoman0.040-491.0Possible, had tachycardia/palpitations0.020.0Minimal/No Fatigue10.00.0Yes
51.01.00.00.00.01.00.01.00.00.00.01.00.00.00.00.01.00.00.00.00.00.00.00.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.00.01.00.01.00.00.00.01.00.01.00.00.00.00.00.0110011000000.00.00.00.00.00.01.010100101000010010000110000000000000000011000010000000010000011001000000000110000001100WhiteMan0.040-491.0Likely, had higher bpm standing0.028.0Fatigue8.07.0NaN
61.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.01.00.00.00.00.01.01.01.01.00.01.00.00.00.00.00.01.01.01.00.00.01.00.01.01.01.01.00.00.00.00.00.00.0111110110000.00.01.01.01.00.01.011000111000000111100110010110100100000111100000000000010000000000000001100000000001110WhiteWoman0.040-490.0Possible, had tachycardia/palpitations1.025.0Fatigue5.04.0Yes
71.00.00.00.00.01.01.01.01.00.00.01.00.00.00.00.00.00.00.00.00.00.01.00.00.01.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.01.00.00.00.00.00.01.01.00.01.00.00.00.00.0110110100100.01.00.00.00.00.01.011100011000000110100110000100000000000001100000010011010000000000000000001001000001100Multiple ancestries, including whiteWoman0.040-490.0Definite, measured bpm > 300.040.0Substantial Fatigue5.03.0Yes
81.01.00.00.00.01.01.01.01.00.00.00.00.01.01.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.00.00.00.00.01.00.00.00.01.00.00.00.01.01.00.00.00.00.00.00.0001000100000.00.00.00.00.00.00.010100101000100000100101000100000001000001000100000000000000000000000000000000000001101WhiteWoman0.030-391.0Possible, had tachycardia/palpitations1.036.0Substantial Fatigue10.010.0No, other reason
91.00.00.00.00.00.01.00.00.00.00.00.01.01.00.00.00.00.01.00.00.00.01.01.00.00.00.01.01.00.01.00.00.00.01.00.01.00.00.00.00.01.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0100000000000.00.01.00.00.00.01.010100101000000011100110010100010000001011110110100001000000010001000000000001100001101WhiteWoman0.030-390.0Likely, had higher bpm standing2.025.0Fatigue9.05.0Yes
Symptom_Memory_shortSymptom_Memory_longSymptom_Memory_no_new_memoriesSymptom_Memory_forget_tasksSymptom_Memory_otherSymptom_Cognitive_Functioning_thinkingSymptom_Cognitive_Functioning_executiveSymptom_Cognitive_Functioning_problemsolvingSymptom_Cognitive_Functioning_slowedthoughtsSymptom_Cognitive_Functioning_fastthoughtsSymptom_Cognitive_Functioning_agnosiaSymptom_Cognitive_Functioning_attentionconcentrationSymptom_Cognitive_Functioning_otherSymptom_Speech_difficulty_finding_wordsSymptom_Speech_difficulty_communicating_verballySymptom_Speech_difficulty_reading_processing_textSymptom_Speech_difficulty_understanding_others_speechSymptom_Speech_difficulty_speaking_complete_sentencesSymptom_Speech_speaking_unrecognizable_wordsSymptom_Speech_difficulty_communicating_writingSymptom_Speech_changes_to_secondary_languagesSymptom_Speech_otherSymptom_Headaches_behind_eyesSymptom_Headaches_stiff_neckSymptom_Headaches_brain_pressureSymptom_Headaches_diffuseSymptom_Headaches_templesSymptom_Headaches_base_of_skullSymptom_Headaches_after_mental_exertionSymptom_Headaches_migrainesSymptom_Headaches_otherSymptom_Headaches_brain_warmthSymptom_Loss_of_smellSymptom_Loss_of_tasteSymptom_Altered_tasteSymptom_Phantom_smellSymptom_Altered_smellSymptom_Phantom_tasteSymptom_Heightened_smellSymptom_Heightened_tasteSymptom_Vibrating_sensationsSymptom_TremorsSymptom_InsomniaSymptom_Night_sweatsSymptom_Awakened_cannot_breatheSymptom_Vivid_dreamsSymptom_NightmaresSymptom_Restless_legSymptom_Lucid_dreamsSymptom_Sleep_apneaSymptom_Sleep_otherSymptom_Difficulty_falling_asleepSymptom_Waking_up_earlySymptom_Waking_up_in_nightSymptom_Hallucinations_visualSymptom_Hallucinations_auditorySymptom_Hallucinations_tactileSymptom_Hallucinations_otherSymptom_Sensations_skin_burning_no_rashSymptom_Sensations_numbness_loss_sensationSymptom_Sensations_numbness_one_sided_weaknessSymptom_Sensations_coldnessSymptom_Sensations_tingling_pricklingSymptom_Sensations_electrical_zapsSymptom_Sensations_weaknessSymptom_Sensations_facial_pressure_leftSymptom_Sensations_facial_pressure_rightSymptom_Sensations_facial_pressure_otherSymptom_Sensations_facial_paralysisSymptom_Temp_labilitySymptom_Heat_intoleranceSymptom_Merged_temperature_other_temp_issuesSymptom_Elevated_tempSymptom_FeverSymptom_Low_tempSymptom_Chills_flushing_sweatsSymptom_TachycardiaSymptom_BradycardiaSymptom_Heart_palpitationsSymptom_Bulging_veinsSymptom_FaintingSymptom_Dizziness_vertigoSymptom_NeuralgiaSymptom_Gasping_air_normal_oxygenSymptom_New_anaphylaxisSymptom_Acute_confusionSymptom_Slurring_wordsSymptom_ConstipationSymptom_DiarrheaSymptom_VomitingSymptom_NauseaSymptom_Loss_of_appetiteSymptom_Acid_refluxSymptom_Dry_coughSymptom_Cough_with_mucusSymptom_Coughing_up_bloodSymptom_Shortness_of_breathSymptom_Tightness_of_chestSymptom_SneezingSymptom_Runny_noseSymptom_Pain_burning_chestSymptom_Rattling_breathSymptom_Sore_throatSymptom_Respiratory_otherSymptom_Hearing_lossSymptom_TinnitusSymptom_Eye_vision_symptomsSymptom_Reproductive_all_menstrual_issuesSymptom_Bladder_controlSymptom_Peeling_skinSymptom_PetechiaeSymptom_Covid_toesSymptom_DermatographiaSymptom_Skin_rashesSymptom_Skin_Allergy_otherSymptom_Muscle_spasmsSymptom_Muscle_achesSymptom_Joint_painSymptom_Bone_ache_burningSymptom_Inability_to_yawnSymptom_Difficulty_swallowingSymptom_Changes_in_voiceSymptom_Extreme_thirstSymptom_Ear_sensitivity_to_noiseSymptom_Ear_ear_painSymptom_Ear_changes_to_ear_canalSymptom_Ear_numbnessSymptom_Other_ear_hearing_symptomsSymptom_Eye_Vision_blurred_visionSymptom_Eye_Vision_sensitivity_to_lightSymptom_Eye_Vision_dry_eyesSymptom_Eye_Vision_eye_pressure_painSymptom_Eye_Vision_floatersSymptom_Eye_Vision_double_visionSymptom_Eye_Vision_tunnel_visionSymptom_Eye_Vision_loss_of_visionSymptom_Eye_Vision_pink_eyeSymptom_Eye_Vision_bloodshot_eyesSymptom_Eye_Vision_redness_outside_eyeSymptom_Eye_Vision_seeing_things_peripheral_visionSymptom_Eye_Vision_other_eye_issuesSymptom_Reproductive_early_menopauseSymptom_Reproductive_abnormally_heavy_periods_clottingSymptom_Reproductive_testicle_penis_pain_changesSymptom_Reproductive_sexual_dysfunctionSymptom_Reproductive_postmenopausal_bleedingSymptom_Reproductive_other_urinary_issuesSymptom_Reproductive_other_menstrual_issuesSymptom_Reproductive_abnormally_irregular_periodsSymptom_Gastrointestinal_feeling_full_quickly_eatingSymptom_Gastrointestinal_abdominal_painSymptom_Gastrointestinal_hyperactive_bowelSymptom_SkinAllergy_itchy_skinSymptom_SkinAllergy_itchy_eyesSymptom_SkinAllergy_heighted_reaction_allergiesSymptom_SkinAllergy_brittle_nailSymptom_SkinAllergy_other_itchySymptom_SkinAllergy_shinglesSymptom_PEMSymptom_FatigueSymptom_Change_sensitivity_to_medsSymptom_New_allergiesDemographics_Ancestry_CleanedDemographics_Gender_CleanedDemographics_Trans_CleanedDemographics_Age_CleanedFlag_MECFSFlag_POTSFlag_MCASFASFAS_catPhysical_PEM_SeverityCognitive_PEM_SeverityHasPeriods
60211.01.00.00.00.01.01.01.00.00.00.01.00.01.00.01.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.01.00.00.00.01.01.01.00.00.00.00.00.00.00.00.01.00.01.00.00.00.00.0100111100000.00.00.00.00.00.00.010110001000000000000110010000000000001001110110000001110000000000000000000000000001110WhiteWoman0.040-490.0Definite, measured bpm > 302.027.0Fatigue10.07.0No, other reason
60220.00.00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0000000000000.00.00.00.00.00.00.000100000000000000000100000000000000000000000000000000000000000000001000000000000000100WhiteMan0.030-390.0No, no tachycardia0.018.0Minimal/No FatigueNaNNaNNaN
60231.01.00.00.00.01.01.01.01.01.00.01.00.00.00.01.01.00.00.00.01.00.01.01.01.01.01.01.01.00.00.01.00.00.00.00.00.00.00.00.00.01.01.01.00.01.01.00.00.01.01.01.00.01.00.00.00.00.0100000000000.01.01.00.00.00.00.010000100000110111110001100100001110010001000101110000000000000000000001111111000001101Multiple ancestries, including whiteWoman0.018-291.0Likely, had higher bpm standing2.041.0Substantial Fatigue5.07.0Yes
60241.01.00.00.01.01.01.00.00.00.00.01.01.01.01.00.01.01.00.00.01.00.01.00.00.01.01.00.00.01.00.00.01.01.01.00.00.00.00.00.00.01.01.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.0000000000000.00.00.00.00.00.00.010100001010000000110111111110000000000001100000100010100000000000000100000000000001110Multiple ancestries, not including whiteWoman0.030-391.0Possible, had tachycardia/palpitations1.031.0Fatigue7.07.0Yes
60251.00.00.00.00.01.01.00.00.00.00.00.00.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.01.01.01.01.00.00.00.01.00.00.01.01.00.00.00.00.00.00.0110111000000.00.01.00.00.00.01.000100110000010001000000000000100100000011100100100000001000000000001001000110000001100WhiteMan0.030-391.0No, no tachycardia0.027.0Fatigue5.00.0NaN
60261.01.00.00.00.01.01.01.01.00.00.01.00.01.01.01.01.00.00.00.00.00.01.01.01.00.00.01.01.01.00.00.00.00.00.00.00.00.00.00.01.00.00.01.01.00.01.00.00.00.01.00.00.00.00.00.00.00.0110000000000.01.00.00.00.00.01.010100101000010001100100001000100111001111100000000000111000000000000001000001101001110WhiteWoman0.050-591.0Possible, had tachycardia/palpitations2.032.0Fatigue8.06.0No, post-menopausal
60271.01.00.01.00.01.01.01.01.00.01.01.00.01.01.01.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.01.00.01.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.0110000000000.00.00.00.00.00.00.010100101010010000100110010100000000010000000000000000000000000000000100000001000001100Multiple ancestries, including whiteWoman0.030-391.0Likely, had higher bpm standing1.026.0Fatigue10.09.0No, other reason
60281.01.01.00.00.01.01.01.00.00.01.01.00.01.01.00.01.01.01.00.00.00.00.01.00.00.01.01.01.01.00.00.00.00.00.00.00.00.00.00.00.00.01.01.01.00.00.01.00.00.01.01.01.00.00.00.00.00.0000110100001.01.01.00.00.01.01.011101000000000110110111111100001000000001110000100010100100000000010100011100000001110WhiteWoman0.030-390.0Definite, measured bpm > 301.033.0Fatigue8.07.0Yes
60291.00.00.00.00.00.01.00.00.00.00.01.00.01.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.00.00.00.01.00.01.00.00.00.00.00.00.00.01.00.00.00.00.00.00.00.01.01.01.01.00.00.00.00.0010000000000.00.00.00.00.00.00.000000000000100001000000100000010000000000100000000011110000000000000000000000000000000WhiteWoman0.060-690.0No, no tachycardia0.018.0Minimal/No FatigueNaNNaNNaN
60301.01.00.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.00.01.00.00.00.00.00.01.00.00.01.00.00.00.00.00.00.00.01.00.01.00.00.00.01.00.00.00.00.00.00.00.01.01.00.00.00.00.00.00.0000000000000.00.00.00.00.00.00.000000100000010110010101100100000000000001000000000000100000000000000000000000000001100WhiteWoman0.030-391.0No, no tachycardia0.030.0Fatigue9.07.0No, other reason